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Fitzpatrick Institute for Photonics : Publications since January 2023

List all publications in the database.    :chronological  alphabetical  combined  bibtex listing:

Baranger, Harold U.

  1. Lee, JW; Baranger, HU, Quantum critical region of a two-dimensional spin-half XXZ model, Journal of the Korean Physical Society, vol. 82 no. 7 (April, 2023), pp. 688-691 [doi]  [abs]

Beratan, David N.

  1. Sun, R; Park, KS; Comstock, AH; McConnell, A; Chen, Y-C; Zhang, P; Beratan, D; You, W; Hoffmann, A; Yu, Z-G; Diao, Y; Sun, D, Inverse chirality-induced spin selectivity effect in chiral assemblies of π-conjugated polymers., Nature materials (March, 2024) [doi]  [abs]
  2. Dunlap-Shohl, WA; Tabassum, N; Zhang, P; Shiby, E; Beratan, DN; Waldeck, DH, Electron-donating functional groups strengthen ligand-induced chiral imprinting on CsPbBr3 quantum dots., Scientific reports, vol. 14 no. 1 (January, 2024), pp. 336 [doi]  [abs]
  3. Mendis, KC; Li, X; Valdiviezo, J; Banziger, SD; Zhang, P; Ren, T; Beratan, DN; Rubtsov, IV, Electron transfer rate modulation with mid-IR in butadiyne-bridged donor-bridge-acceptor compounds., Physical chemistry chemical physics : PCCP, vol. 26 no. 3 (January, 2024), pp. 1819-1828 [doi]  [abs]
  4. Sun, K; Fang, C; Kang, M; Zhang, Z; Zhang, P; Beratan, DN; Brown, KR; Kim, J, Quantum Simulation of Polarized Light-Induced Electron Transfer with a Trapped-Ion Qutrit System., The journal of physical chemistry letters, vol. 14 no. 26 (July, 2023), pp. 6071-6077 [doi]  [abs]
  5. Terai, K; Yuly, JL; Zhang, P; Beratan, DN, Correlated particle transport enables biological free energy transduction., Biophysical journal, vol. 122 no. 10 (May, 2023), pp. 1762-1771 [doi]  [abs]
  6. Rousseau, BJG; Migliore, A; Stanley, RJ; Beratan, DN, Adenine Fine-Tunes DNA Photolyase's Repair Mechanism., The journal of physical chemistry. B, vol. 127 no. 13 (April, 2023), pp. 2941-2954 [doi]  [abs]

Brady, David J.

  1. Gopinathan, U. and Brady, D.J. and Pitsianis, N.P., Coded apertures for efficient pyroelectric motion tracking, Opt. Express (USA), vol. 11 no. 18 (8)  [abs]

Brown, April S.

  1. I. Yoon and C. Yi and T. Kirn and A. S. Brown and A. Seabaugh, Effect of surface pretreatment and substrate orientation on the characteristics of InAs quantum dots on Si and SiO2 substrates, Journal Of Vacuum Science & Technology B, vol. 25 no. 3 (2007), pp. 945 -- 947, ISSN 1071-1023  [abs]
  2. P. C. Wu and M. Losurdo and T. H. Kim and O. Choi and G. Bruno and A. S. Brown, In situ spectroscopic ellipsometry to monitor surface plasmon resonant group-III metals deposited by molecular beam epitaxy, Journal Of Vacuum Science & Technology B, vol. 25 no. 3 (2007), pp. 1019 -- 1023, ISSN 1071-1023  [abs]

Carin, Lawrence

  1. Assaad, S; Dov, D; Park, C; Davis, R; Kovalsky, SZ; Lee, WT; Kahmke, RR; Rocke, DJ; Cohen, J; Weiss-Meilik, A; Henao, R; Carin, L; Elliott Range, D, A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration Biopsies., Thyroid, vol. 34 no. 4 (April, 2024), pp. 531-535 [doi]
  2. Dow, ER; Jeong, HK; Katz, EA; Toth, CA; Wang, D; Lee, T; Kuo, D; Allingham, MJ; Hadziahmetovic, M; Mettu, PS; Schuman, S; Carin, L; Keane, PA; Henao, R; Lad, EM, A Deep-Learning Algorithm to Predict Short-Term Progression to Geographic Atrophy on Spectral-Domain Optical Coherence Tomography., JAMA Ophthalmol, vol. 141 no. 11 (November, 2023), pp. 1052-1061 [doi]  [abs]
  3. Dov, D; Elliott Range, D; Cohen, J; Bell, J; Rocke, DJ; Kahmke, RR; Weiss-Meilik, A; Lee, WT; Henao, R; Carin, L; Kovalsky, SZ, Deep-Learning-Based Screening and Ancillary Testing for Thyroid Cytopathology., Am J Pathol, vol. 193 no. 9 (September, 2023), pp. 1185-1194 [doi]  [abs]
  4. Zhang, H; Wang, C; Wang, Z; Duan, Z; Chen, B; Zhou, M; Henao, R; Carin, L, Learning Hierarchical Document Graphs From Multilevel Sentence Relations., IEEE Trans Neural Netw Learn Syst, vol. 34 no. 8 (August, 2023), pp. 4273-4285 [doi]  [abs]
  5. Luo, D; Xu, H; Carin, L, Differentiable Hierarchical Optimal Transport for Robust Multi-View Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45 no. 6 (June, 2023), pp. 7293-7307 [doi]  [abs]
  6. Assaad, S; Dov, D; Davis, R; Kovalsky, S; Lee, WT; Kahmke, R; Rocke, D; Cohen, J; Henao, R; Carin, L; Range, DE, Thyroid Cytopathology Cancer Diagnosis from Smartphone Images Using Machine Learning., Mod Pathol, vol. 36 no. 6 (June, 2023), pp. 100129 [doi]  [abs]
  7. Chapfuwa, P; Tao, C; Li, C; Khan, I; Chandross, KJ; Pencina, MJ; Carin, L; Henao, R, Calibration and Uncertainty in Neural Time-to-Event Modeling., IEEE Trans Neural Netw Learn Syst, vol. 34 no. 4 (April, 2023), pp. 1666-1680 [doi]  [abs]
  8. Li, Z; Cong, Y; Chen, X; Qi, J; Sun, J; Yan, T; Yang, H; Liu, J; Lu, E; Wang, L; Li, J; Hu, H; Zhang, C; Yang, Q; Yao, J; Yao, P; Jiang, Q; Liu, W; Song, J; Carin, L; Chen, Y; Zhao, S; Gao, X, Vision transformer-based weakly supervised histopathological image analysis of primary brain tumors, iScience, vol. 26 no. 1 (January, 2023) [doi]  [abs]
  9. Xu, H; Liu, J; Luo, D; Carin, L, Representing Graphs via Gromov-Wasserstein Factorization., IEEE transactions on pattern analysis and machine intelligence, vol. 45 no. 1 (January, 2023), pp. 999-1016 [doi]  [abs]
  10. Verma, VK; Mehta, N; Si, S; Henao, R; Carin, L, Pushing the Efficiency Limit Using Structured Sparse Convolutions, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023 (January, 2023), pp. 6492-6502, ISBN 9781665493468 [doi]  [abs]
  11. Bai, K; Cheng, P; Hao, W; Henao, R; Carin, L, Estimating Total Correlation with Mutual Information Estimators, Proceedings of Machine Learning Research, vol. 206 (January, 2023), pp. 2147-2164  [abs]
  12. Mariottoni, EB; Datta, S; Shigueoka, LS; Jammal, AA; Tavares, IM; Henao, R; Carin, L; Medeiros, FA, Deep Learning-Assisted Detection of Glaucoma Progression in Spectral-Domain OCT., Ophthalmol Glaucoma, vol. 6 no. 3 (2023), pp. 228-238 [doi]  [abs]

Chilkoti, Ashutosh

  1. Li, Z; Shen, Q; Usher, ET; Anderson, AP; Iburg, M; Lin, R; Zimmer, B; Meyer, MD; Holehouse, AS; You, L; Chilkoti, A; Dai, Y; Lu, GJ, Phase transition of GvpU regulates gas vesicle clustering in bacteria., Nature microbiology, vol. 9 no. 4 (April, 2024), pp. 1021-1035 [doi]  [abs]
  2. Walter, V; Schmatko, T; Muller, P; Schroder, AP; MacEwan, SR; Chilkoti, A; Marques, CM, Negative lipid membranes enhance the adsorption of TAT-decorated elastin-like polypeptide micelles., Biophysical journal, vol. 123 no. 7 (April, 2024), pp. 901-908 [doi]  [abs]
  3. Strader, RL; Shmidov, Y; Chilkoti, A, Encoding Structure in Intrinsically Disordered Protein Biomaterials., Accounts of chemical research, vol. 57 no. 3 (February, 2024), pp. 302-311 [doi]  [abs]
  4. Albarghouthi, FM; Semeniak, D; Khanani, I; Doherty, JL; Smith, BN; Salfity, M; MacFarlane, Q; Karappur, A; Noyce, SG; Williams, NX; Joh, DY; Andrews, JB; Chilkoti, A; Franklin, AD, Addressing Signal Drift and Screening for Detection of Biomarkers with Carbon Nanotube Transistors., ACS nano (February, 2024) [doi]  [abs]
  5. Deshpande, S; Yang, Y; Zauscher, S; Chilkoti, A, Enzymatic Synthesis of Aptamer-Polynucleotide Nanoparticles with High Anticancer Drug Loading for Targeted Delivery., Biomacromolecules, vol. 25 no. 1 (January, 2024), pp. 155-164 [doi]  [abs]
  6. Subramaniam, S; Akay, M; Anastasio, MA; Bailey, V; Boas, D; Bonato, P; Chilkoti, A; Cochran, JR; Colvin, V; Desai, TA; Duncan, JS; Epstein, FH; Fraley, S; Giachelli, C; Grande-Allen, KJ; Green, J; Guo, XE; Hilton, IB; Humphrey, JD; Johnson, CR; Karniadakis, G; King, MR; Kirsch, RF; Kumar, S; Laurencin, CT; Li, S; Lieber, RL; Lovell, N; Mali, P; Margulies, SS; Meaney, DF; Ogle, B; Palsson, B; A Peppas, N; Perreault, EJ; Rabbitt, R; Setton, LA; Shea, LD; Shroff, SG; Shung, K; Tolias, AS; van der Meulen, MCH; Varghese, S; Vunjak-Novakovic, G; White, JA; Winslow, R; Zhang, J; Zhang, K; Zukoski, C; Miller, MI, Grand Challenges at the Interface of Engineering and Medicine., IEEE Open J Eng Med Biol, vol. 5 (2024), pp. 1-13 [doi]  [abs]
  7. Sethi, V; Cohen-Gerassi, D; Meir, S; Ney, M; Shmidov, Y; Koren, G; Adler-Abramovich, L; Chilkoti, A; Beck, R, Modulating hierarchical self-assembly in thermoresponsive intrinsically disordered proteins through high-temperature incubation time., Scientific reports, vol. 13 no. 1 (December, 2023), pp. 21688 [doi]  [abs]
  8. Lazar, KM; Shetty, S; Chilkoti, A; Collier, JH, Immune-active polymeric materials for the treatment of inflammatory diseases, Current Opinion in Colloid and Interface Science, vol. 67 (October, 2023) [doi]  [abs]
  9. Semeniak, D; Cruz, DF; Chilkoti, A; Mikkelsen, MH, Plasmonic Fluorescence Enhancement in Diagnostics for Clinical Tests at Point-of-Care: A Review of Recent Technologies., Advanced materials (Deerfield Beach, Fla.), vol. 35 no. 34 (August, 2023), pp. e2107986 [doi]  [abs]
  10. Vahabi, H; Liu, J; Dai, Y; Joh, DY; Britton, R; Heggestad, J; Kinnamon, D; Rajput, S; Chilkoti, A, A gravity-driven droplet fluidic point-of-care test., Device, vol. 1 no. 1 (July, 2023), pp. 100009 [doi]  [abs]
  11. Kinnamon, DS; Heggestad, JT; Liu, J; Nguyen, T; Ly, V; Hucknall, AM; Fontes, CM; Britton, RJ; Cai, J-P; Chan, JF-W; Yuen, K-Y; Le, T; Chilkoti, A, Environmentally Resilient Microfluidic Point-of-Care Immunoassay Enables Rapid Diagnosis of Talaromycosis., ACS Sens, vol. 8 no. 6 (June, 2023), pp. 2228-2236 [doi]  [abs]
  12. Dai, Y; Chamberlayne, CF; Messina, MS; Chang, CJ; Zare, RN; You, L; Chilkoti, A, Interface of biomolecular condensates modulates redox reactions., Chem, vol. 9 no. 6 (June, 2023), pp. 1594-1609 [doi]  [abs]
  13. Burrow, DT; Heggestad, JT; Kinnamon, DS; Chilkoti, A, Engineering Innovative Interfaces for Point-of-Care Diagnostics., Current opinion in colloid & interface science (June, 2023), pp. 101718 [doi]  [abs]
  14. Heggestad, JT; Britton, RJ; Kinnamon, DS; Liu, J; Anderson, JG; Joh, DY; Quinn, Z; Fontes, CM; Hucknall, AM; Parks, R; Sempowski, GD; Denny, TN; Burke, TW; Haynes, BF; Woods, CW; Chilkoti, A, COVID-19 Diagnosis and SARS-CoV-2 Strain Identification by a Rapid, Multiplexed, Point-of-Care Antibody Microarray., Anal Chem, vol. 95 no. 13 (April, 2023), pp. 5610-5617 [doi]  [abs]
  15. Dai, Y; Farag, M; Lee, D; Zeng, X; Kim, K; Son, H-I; Guo, X; Su, J; Peterson, N; Mohammed, J; Ney, M; Shapiro, DM; Pappu, RV; Chilkoti, A; You, L, Programmable synthetic biomolecular condensates for cellular control., Nature chemical biology, vol. 19 no. 4 (April, 2023), pp. 518-528 [doi]  [abs]
  16. Ozer, I; Slezak, A; Sirohi, P; Li, X; Zakharov, N; Yao, Y; Everitt, JI; Spasojevic, I; Craig, SL; Collier, JH; Campbell, JE; D'Alessio, DA; Chilkoti, A, An injectable PEG-like conjugate forms a subcutaneous depot and enables sustained delivery of a peptide drug., Biomaterials, vol. 294 (March, 2023), pp. 121985 [doi]  [abs]
  17. J. W. Pyhtila and H. W. Ma and A. J. Simnick and A. Chilkoti and A. Wax, Analysis of long range correlations due to coherent light scattering from in-vitro cell arrays using angle-resolved low coherence interferometry, Journal Of Biomedical Optics, vol. 11 no. 3 (2006), ISSN 1083-3668  [abs]

Cummer, Steven A.

  1. Pu, Y; Cummer, SA; Lyu, F; Zheng, Y; Briggs, MS; Lesage, S; Mailyan, B; Roberts, OJ, Unsupervised Clustering and Supervised Machine Learning for Lightning Classification: Application to Identifying EIPs for Ground-Based TGF Detection, Journal of Geophysical Research: Atmospheres, vol. 128 no. 9 (May, 2023) [doi]  [abs]
  2. Shen, C; Rohde, C; Cushing, CW; Li, J; Tan, ZJ; Du, H; Peng, X; Wilson, PS; Haberman, MR; Fang, NX; Cummer, SA, Anisotropic Metallic Microlattice Structures for Underwater Operations, Advanced Engineering Materials, vol. 25 no. 6 (March, 2023) [doi]  [abs]
  3. Shen, L; Tai, J; Crivoi, A; Li, J; Cummer, S; Fan, Z, Self-stabilizing three-dimensional particle manipulation via a single-transducer acoustic tweezer, Applied Physics Letters, vol. 122 no. 9 (February, 2023) [doi]  [abs]

Daubechies, Ingrid

  1. Duprez, F; Crombin, M; Daubechies, I; Devries, N; Durant, V; El Khalil, M; Audag, N, [Update on manual bronchial clearance techniques (adults and adolescents)]., Revue des maladies respiratoires, vol. 41 no. 1 (January, 2024), pp. 43-50 [doi]  [abs]
  2. Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernel-based optimization scheme for analyzing non-stationary 1D signals, Applied and Computational Harmonic Analysis, vol. 66 (September, 2023), pp. 1-17 [doi]  [abs]
  3. Balmaceda, JM; Clemens, CH; Daubechies, I; Pineda, AR; Rusu, G; Waldschmidt, M, Graduate Assistantships in Developing Countries (GRAID) Supporting Mathematics Graduate Students in the Countries that Need it Most, Notices of the American Mathematical Society, vol. 70 no. 8 (September, 2023), pp. 1281-1284 [doi]
  4. Daubechies, I; Devore, R; Dym, N; Faigenbaum-Golovin, S; Kovalsky, SZ; Lin, KC; Park, J; Petrova, G; Sober, B, Neural Network Approximation of Refinable Functions, IEEE Transactions on Information Theory, vol. 69 no. 1 (January, 2023), pp. 482-495 [doi]  [abs]
  5. Pu, W; Sober, B; Daly, N; Zhou, C; Sabetsarvestani, Z; Higgitt, C; Daubechies, I; Rodrigues, MRD, Image Separation With Side Information: A Connected Auto-Encoders Based Approach., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 32 (January, 2023), pp. 2931-2946 [doi]  [abs]
  6. Shan, S; Daubechies, I, Diffusion Maps: Using the Semigroup Property for Parameter Tuning, in Applied and Numerical Harmonic Analysis, vol. Part F6 (January, 2023), pp. 409-424 [doi]  [abs]

Derbyshire, Emily R.

  1. Mansfield, CR; Quan, B; Chirgwin, ME; Eduful, B; Hughes, PF; Neveu, G; Sylvester, K; Ryan, DH; Kafsack, BFC; Haystead, TAJ; Leahy, JW; Fitzgerald, MC; Derbyshire, ER, Selective targeting of Plasmodium falciparum Hsp90 disrupts the 26S proteasome., Cell Chem Biol (March, 2024), pp. S2451-9456(24)00082-5 [doi]  [abs]
  2. Schroeder, EA; Toro-Moreno, M; Raphemot, R; Sylvester, K; Colón, IC; Derbyshire, ER, Toxoplasma and Plasmodium associate with host Arfs during infection., edited by Blader, IJ, mSphere, vol. 9 no. 3 (March, 2024), pp. e0077023, American Society for Microbiology [doi]  [abs]
  3. Ong, HW; de Silva, C; Avalani, K; Kwarcinski, F; Mansfield, CR; Chirgwin, M; Truong, A; Derbyshire, ER; Zutshi, R; Drewry, DH, Characterization of 2,4-Dianilinopyrimidines Against Five P. falciparum Kinases PfARK1, PfARK3, PfNEK3, PfPK9, and PfPKB., ACS medicinal chemistry letters, vol. 14 no. 12 (December, 2023), pp. 1774-1784 [doi]  [abs]
  4. D'Ambrosio, HK; Keeler, AM; Derbyshire, ER, Examination of Secondary Metabolite Biosynthesis in Apicomplexa., Chembiochem : a European journal of chemical biology, vol. 24 no. 17 (September, 2023), pp. e202300263 [doi]  [abs]
  5. Keeler, AM; Petruzziello, PE; Boger, EG; D'Ambrosio, HK; Derbyshire, ER, Exploring the Chain Release Mechanism from an Atypical Apicomplexan Polyketide Synthase., Biochemistry, vol. 62 no. 17 (September, 2023), pp. 2677-2688 [doi]  [abs]
  6. Mansfield, CR; Chirgwin, ME; Derbyshire, ER, Labeling strategies to track protozoan parasite proteome dynamics., Current opinion in chemical biology, vol. 75 (August, 2023), pp. 102316 [doi]  [abs]
  7. Viswanathan, NK; Chirgwin, ME; Gibbs, J; Kalaj, BN; Durham, S; Tran, J; Gomez, M; Lazaro, H; Chen, M; Mansfield, CR; Derbyshire, ER; Eagon, S, Synthesis and activity of β-carboline antimalarials targeting the Plasmodium falciparum heat shock 90 protein., Bioorganic & medicinal chemistry letters, vol. 92 (August, 2023), pp. 129410 [doi]  [abs]
  8. Keeler, AM; D'Ambrosio, HK; Ganley, JG; Derbyshire, ER, Characterization of Unexpected Self-Acylation Activity of Acyl Carrier Proteins in a Modular Type I Apicomplexan Polyketide Synthase., ACS chemical biology, vol. 18 no. 4 (April, 2023), pp. 785-793 [doi]  [abs]
  9. Ong, HW; Truong, A; Kwarcinski, F; de Silva, C; Avalani, K; Havener, TM; Chirgwin, M; Galal, KA; Willis, C; Krämer, A; Liu, S; Knapp, S; Derbyshire, ER; Zutshi, R; Drewry, DH, Discovery of potent Plasmodium falciparum protein kinase 6 (PfPK6) inhibitors with a type II inhibitor pharmacophore., European journal of medicinal chemistry, vol. 249 (March, 2023), pp. 115043 [doi]  [abs]

Dewhirst, Mark W.

  1. Engler, M.J. and Dewhirst, M.W. and Winget, J.M. and Oleson, J.R., Automated temperature scanning for hyperthermia treatment monitoring, Int. J. Radiat. Oncol. Biol. Phys. (UK), vol. 13 no. 9 , pp. 1377 - 82  [abs]
  2. Samulski, T.V. and Grant, W.J. and Oleson, J.R. and Leopold, K.A. and Dewhirst, M.W. and Vallario, P. and Blivin, J., Clinical experience with a multi-element ultrasonic hyperthermia system: analysis of treatment temperatures, Int. J. Hyperth. (UK), vol. 6 no. 5 , pp. 909 - 22  [abs]
  3. Thrall, D.E. and Rosner, G.L. and Azuma, C. and Larue, S.M. and Case, B.C. and Samulski, T. and Dewhirst, M.W., Using units of CEM 43°C T90, local hyperthermia thermal dose can be delivered as prescribed, Int. J. Hyperth. (UK), vol. 16 no. 5 , pp. 415 - 28 [026567300416712]  [abs]
  4. Vujaskovic, Z. and Rosen, E.L. and Blackwell, K.L. and Jones, E.L. and Brizel, D.M. and Prosnitz, L.R. and Samulski, T.V. and Dewhirst, M.W., Ultrasound guided pO2 measurement of breast cancer reoxygenation after neoadjuvant chemotherapy and hyperthermia treatment, Int. J. Hyperth. (UK), vol. 19 no. 5 , pp. 498 - 506 [0265673031000121517]  [abs]
  5. Kong, G. and Dewhirst, M.W., Hyperthermia and liposomes, Int. J. Hyperth. (UK), vol. 15 no. 5 , pp. 345 - 70 [026567399285558]  [abs]
  6. Thrall, D.E. and Larue, S.M. and Powers, B.E. and Page, R.L. and Johnson, J. and George, S.L. and Kornegay, J.N. and McEntee, M.C. and Levesque, D.C. and Smith, M. and Case, B.C. and Dewhirst, M.W. and Gillette, E.L., Use of whole body hyperthermia as a method to heat inaccessible tumours uniformly: a phase III trial in canine brain masses, Int. J. Hyperth. (UK), vol. 15 no. 5 , pp. 383 - 98 [026567399285576]  [abs]
  7. Prescott, D.M. and Charles, H.C. and Sostman, H.D. and Page, R.L. and Thrall, D.E. and Moore, D. and Oleson, J.R. and Dewhirst, M.W., Manipulation of intra- and extracellular pH in spontaneous canine tumours by use of hyperglycaemia [hyperthermia efficacy improvement], Int. J. Hyperth. (UK), vol. 9 no. 5 , pp. 745 - 54  [abs]

Everitt, Henry

  1. Lee, S-H; Iglesias, B; Everitt, HO; Liu, J, Controlling product selectivity in hybrid gas/liquid reactors using gas conditions, voltage, and temperature., Nanoscale, vol. 15 no. 21 (June, 2023), pp. 9423-9431 [doi]  [abs]
  2. Izadparast, M; Naik, GV; Everitt, HO; Ramezani, H, Exceptional point based lattice gyroscopes, Optical Materials Express, vol. 13 no. 6 (June, 2023), pp. 1547-1547, Optica Publishing Group [doi]  [abs]
  3. Chong, Y; Everitt, HO; Galdi, V; Khajavikhan, M; Naik, GV, Non-Hermitian optics and photonics: introduction to the special issue, Optical Materials Express, vol. 13 no. 6 (June, 2023), pp. 1710-1710, Optica Publishing Group [doi]  [abs]
  4. Lee, SA; Kuhs, CT; Searles, EK; Everitt, HO; Landes, CF; Link, S, d-Band Hole Dynamics in Gold Nanoparticles Measured with Time-Resolved Emission Upconversion Microscopy., Nano Letters, vol. 23 no. 8 (April, 2023), pp. 3501-3506 [doi]  [abs]
  5. Yao, W; Verdugo, F; Everitt, HO; Christiansen, RE; Johnson, SG, Designing structures that maximize spatially averaged surface-enhanced Raman spectra., Optics Express, vol. 31 no. 3 (January, 2023), pp. 4964-4977 [doi]  [abs]

Fair, Richard B.

  1. R. B. Fair and M. A. Shannon and O. K. Tan and O. Geschke and C. H. Ahn and O. Kaynak and M. J. Vellekoop, Introduction for the special issue on sensors for microfluidic analysis systems, Ieee Sensors Journal, vol. 8 no. 5-6 (2008), pp. 427 -- 429, ISSN 1530-437X
  2. L. Luan and R. D. Evans and N. M. Jokerst and R. B. Fair, Integrated optical sensor in a digital microfluidic platform, Ieee Sensors Journal, vol. 8 no. 5-6 (2008), pp. 628 -- 635, ISSN 1530-437X  [abs]
  3. R. B. Fair and A. Khlystov and T. D. Tailor and V. Ivanov and R. D. Evans and P. B. Griffin and V. Srinivasan and V. K. Pamula and M. G. Pollack and J. Zhou, Chemical and biological applications of digital-microfluidic devices, Ieee Design & Test Of Computers, vol. 24 no. 1 (2007), pp. 10 -- 24, ISSN 0740-7475
  4. Fair, R.B. and Pappas, P.N., Diffusion of ion-implanted B in high concentration P- and As-doped silicon, J. Electrochem. Soc. (USA), vol. 122 no. 9 , pp. 1241 - 4  [abs]
  5. Tsai, J.C.C. and Schimmel, D.G. and Ahrens, R.E. and Fair, R.B., Point defect generation during phosphorus diffusion in silicon. II. Concentrations below solid solubility, ion-implanted phosphorus, J. Electrochem. Soc. (USA), vol. 134 no. 9 , pp. 2348 - 56  [abs]
  6. Fair, R.B. and Manda, M.L. and Wortman, J.J., The diffusion of antimony in heavily doped and n- and p-type silicon, J. Mater. Res. (USA), vol. 1 no. 5 , pp. 705 - 11  [abs]

Farsiu, Sina

  1. Lu, M-C; Deng, C; Greenwald, MF; Farsiu, S; Prajna, NV; Nallasamy, N; Pawar, M; Hart, JN; Sr, S; Kochar, P; Selvaraj, S; Levine, H; Amescua, G; Sepulveda-Beltran, PA; Niziol, LM; Woodward, MA; and the AQUA Study Team, , Automatic Classification of Slit-Lamp Photographs by Imaging Illumination., Cornea, vol. 43 no. 4 (April, 2024), pp. 419-424 [doi]  [abs]
  2. Wang, RK; Farsiu, S, Biomedical Optics Express recognizes the 2023 best paper prize winners: editorial., Biomedical optics express, vol. 15 no. 2 (February, 2024), pp. 1148-1149, Optica Publishing Group [doi]  [abs]
  3. Michalak, SM; Mangalesh, S; Chen, Y; Shen, LL; Tai, V; Winter, K; Sarin, N; Ying, G-S; Toth, CA; Vajzovic, L; BabySTEPS Group, , Longitudinal Choroidal Development in Preterm Infants., Ophthalmol Sci, vol. 4 no. 1 (2024), pp. 100359 [doi]  [abs]
  4. Li, G; van Batenburg-Sherwood, J; Safa, BN; Fraticelli Guzmán, NS; Wilson, A; Bahrani Fard, MR; Choy, K; De Ieso, ML; Cui, JS; Feola, AJ; Weisz, T; Kuhn, M; Rickman, CB; Farsiu, S; Ethier, CR; Stamer, WD, Aging and intraocular pressure homeostasis in mice., bioRxiv (December, 2023) [doi]  [abs]
  5. Hicks, PM; Singh, K; Prajna, NV; Lu, M-C; Niziol, LM; Greenwald, MF; Verkade, A; Amescua, G; Farsiu, S; Woodward, MA; Corneal Ulcer Study Group, , Quantifying Clinicians' Diagnostic Uncertainty When Making Initial Treatment Decisions for Microbial Keratitis., Cornea, vol. 42 no. 11 (November, 2023), pp. 1408-1413 [doi]  [abs]
  6. Zemborain, ZZ; Soifer, M; Azar, NS; Murillo, S; Mousa, HM; Perez, VL; Farsiu, S, Open-Source Automated Segmentation of Neuronal Structures in Corneal Confocal Microscopy Images of the Subbasal Nerve Plexus With Accuracy on Par With Human Segmentation., Cornea, vol. 42 no. 10 (October, 2023), pp. 1309-1319 [doi]  [abs]
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  8. Sazhnyev, Y; Sin, T-N; Ma, A; Chang, E; Huynh, L; Roszak, K; Park, S; Choy, K; Farsiu, S; Moshiri, A; Thomasy, SM; Yiu, G, Choroidal Changes in Rhesus Macaques in Aging and Age-Related Drusen., Investigative ophthalmology & visual science, vol. 64 no. 12 (September, 2023), pp. 44 [doi]  [abs]
  9. Yang, Z; Farsiu, S, Directional Connectivity-based Segmentation of Medical Images., Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2023 (June, 2023), pp. 11525-11535 [doi]  [abs]
  10. Rasti, R; Biglari, A; Rezapourian, M; Yang, Z; Farsiu, S, RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation., IEEE transactions on medical imaging, vol. 42 no. 5 (May, 2023), pp. 1413-1423, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  11. Soltanian-Zadeh, S; Liu, Z; Liu, Y; Lassoued, A; Cukras, CA; Miller, DT; Hammer, DX; Farsiu, S, Deep learning-enabled volumetric cone photoreceptor segmentation in adaptive optics optical coherence tomography images of normal and diseased eyes., Biomedical optics express, vol. 14 no. 2 (February, 2023), pp. 815-833, Optica Publishing Group [doi]  [abs]
  12. Wang, RK; Farsiu, S, Biomedical Optics Express recognizes the best paper prize winners: editorial., Biomedical optics express, vol. 14 no. 2 (February, 2023), pp. 985-986, Optica Publishing Group [doi]  [abs]
  13. Hagan, K; Park, J; DuBose, TB; Soltanian-Zadeh, S; Dhalla, AH; Kuo, AN; McNabb, RP; Izatt, JA; Farsiu, S, Dual modality handheld adaptive optics optical coherence tomography probe for in vivo 3-D photoreceptor imaging, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 12360 (January, 2023), ISBN 9781510658257 [doi]  [abs]

Ferrari, Silvia

  1. S. Ferrari and R. F. Stengel, Online adaptive critic flight control, Journal Of Guidance Control And Dynamics, vol. 27 no. 5 (2004), pp. 777 -- 786, ISSN 0731-5090

Finkelstein, Gleb

  1. Zhao, L; Arnault, EG; Larson, TFQ; Watanabe, K; Taniguchi, T; Amet, F; Finkelstein, G, Nonlocal transport measurements in hybrid quantum Hall-superconducting devices, Physical Review B, vol. 109 no. 11 (March, 2024) [doi]  [abs]
  2. Zhao, L; Arnault, EG; Larson, TFQ; Watanabe, K; Taniguchi, T; Amet, F; Finkelstein, G, Non-local transport measurements in hybrid quantum Hall - superconducting devices (October, 2023)  [abs] [submitted]
  3. Zhao, L; Iftikhar, Z; Larson, TFQ; Arnault, EG; Watanabe, K; Taniguchi, T; Amet, F; Finkelstein, G, Loss and Decoherence at the Quantum Hall-Superconductor Interface., Physical review letters, vol. 131 no. 17 (October, 2023), pp. 176604 [doi]  [abs] [high impact paper]
  4. Chiles, J; Arnault, EG; Chen, C-C; Larson, TFQ; Zhao, L; Watanabe, K; Taniguchi, T; Amet, F; Finkelstein, G, Nonreciprocal Supercurrents in a Field-Free Graphene Josephson Triode., Nano letters, vol. 23 no. 11 (June, 2023), pp. 5257-5263 [doi]  [abs] [high impact paper]
  5. Arnault, EG; Al-Tawhid, AH; Salmani-Rezaie, S; Muller, DA; Kumah, DP; Bahramy, MS; Finkelstein, G; Ahadi, K, Anisotropic superconductivity at KTaO3(111) interfaces., Science advances, vol. 9 no. 7 (February, 2023), pp. eadf1414 [doi]  [abs] [high impact paper]

Gao, Haiyan

  1. Gao, H; Khachatryan, V; Zhou, J, Experimental Status on the Proton Charge Radius, Proceedings of Science, vol. 413 (March, 2024)  [abs]
  2. Arrington, J; Benesch, J; Camsonne, A; Caylor, J; Chen, JP; Covrig Dusa, S; Emmert, A; Evans, G; Gao, H; Hansen, JO; Huber, GM; Joosten, S; Khachatryan, V; Liyanage, N; Meziani, ZE; Nycz, M; Peng, C; Paolone, M; Seay, W; Souder, PA; Sparveris, N; Spiesberger, H; Tian, Y; Voutier, E; Xie, J; Xiong, W; Ye, ZY; Ye, Z; Zhang, J; Zhao, ZW; Zheng, X, The solenoidal large intensity device (SoLID) for JLab 12 GeV, Journal of Physics G: Nuclear and Particle Physics, vol. 50 no. 11 (November, 2023) [doi]  [abs] [author's comments] [high impact paper]
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  5. Adhikari, S; Afzal, F; Akondi, CS; Albrecht, M; Amaryan, M; Arroyave, V; Asaturyan, A; Austregesilo, A; Baldwin, Z; Barbosa, F; Barlow, J; Barriga, E; Barsotti, R; Beattie, TD; Berdnikov, VV; Black, T; Boeglin, W; Briscoe, WJ; Britton, T; Brooks, WK; Byer, D; Chudakov, E; Cole, PL; Cortes, O; Crede, V; Dalton, MM; Darulis, D; Deur, A; Dobbs, S; Dolgolenko, A; Dotel, R; Dugger, M; Dzhygadlo, R; Ebersole, D; Egiyan, H; Erbora, T; Eugenio, P; Fabrizi, A; Fanelli, C; Fang, S; Fegan, S; Fitches, J; Foda, AM; Furletov, S; Gan, L; Gao, H; Gardner, A; Gasparian, A; Gleason, C; Goetzen, K; Goryachev, VS; Grube, B; Guo, J; Guo, L; Hague, TJ; Hakobyan, H; Hernandez, J; Hoffman, ND; Hornidge, D; Hou, G; Huber, GM; Hurck, P; Hurley, A; Imoehl, W; Ireland, DG; Ito, MM; Jaegle, I; Jarvis, NS; Jeske, T; Jones, RT; Kakoyan, V; Kalicy, G; Khachatryan, V; Khatchatryan, M; Kourkoumelis, C; Laduke, A; Larin, I; Lawrence, D; Lersch, DI; Li, H; Li, WB; Liu, B; Livingston, K; Lolos, GJ; Lorenti, L; Lyubovitskij, V; Mack, D; Mahmood, A; Martel, PP; Marukyan, H; Matveev, V; McCaughan, M; McCracken, M; Meyer, CA; Miskimen, R; Mitchell, RE; Mizutani, K; Neelamana, V; Ng, L; Nissen, E, Measurement of the J / ψ photoproduction cross section over the full near-threshold kinematic region, Physical Review C, vol. 108 no. 2 (August, 2023) [doi]  [abs] [reputed journal]
  6. Byer, D; Khachatryan, V; Gao, H; Akushevich, I; Ilyichev, A; Peng, C; Prokudin, A; Srednyak, S; Zhao, Z, SIDIS-RC EvGen: A Monte-Carlo event generator of semi-inclusive deep inelastic scattering with the lowest-order QED radiative corrections, Computer Physics Communications, vol. 287 (June, 2023) [doi]  [abs] [reputed journal]
  7. Duran, B; Meziani, Z-E; Joosten, S; Jones, MK; Prasad, S; Peng, C; Armstrong, W; Atac, H; Chudakov, E; Bhatt, H; Bhetuwal, D; Boer, M; Camsonne, A; Chen, J-P; Dalton, MM; Deokar, N; Diefenthaler, M; Dunne, J; El Fassi, L; Fuchey, E; Gao, H; Gaskell, D; Hansen, O; Hauenstein, F; Higinbotham, D; Jia, S; Karki, A; Keppel, C; King, P; Ko, HS; Li, X; Li, R; Mack, D; Malace, S; McCaughan, M; McClellan, RE; Michaels, R; Meekins, D; Paolone, M; Pentchev, L; Pooser, E; Puckett, A; Radloff, R; Rehfuss, M; Reimer, PE; Riordan, S; Sawatzky, B; Smith, A; Sparveris, N; Szumila-Vance, H; Wood, S; Xie, J; Ye, Z; Yero, C; Zhao, Z, Determining the gluonic gravitational form factors of the proton., Nature, vol. 615 no. 7954 (March, 2023), pp. 813-816 [doi]  [abs] [high impact paper]
  8. Gao, H, Nuclear Physics at Brookhaven National Laboratory, Nuclear Physics News, vol. 33 no. 2 (January, 2023), pp. 5-10 [doi] [published]
  9. H. Gao, Establishing a Residential Liberal Arts College in China: Duke Kunshan University, A special volume of Daedalus, the Journal of the American Academy of Arts and Sciences (2023)

Gehm, Michael E.

  1. Guo, S; Boyarsky, M; Vigil, SA; Yu, Y; Moreno-Hernandez, IA; Gehm, ME; Wiley, BJ, Toward One-Way Smoke: Synthesis of Copper-Based Microclubs with Asymmetric Scattering and Absorption, Advanced Functional Materials (January, 2024) [doi]  [abs]
  2. Ruiz, SD; Martinez, M; Gehm, ME, Asymmetric Illumination X-Ray Differential Phase Contrast Imaging, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12531 (January, 2023), ISBN 9781510661769 [doi]  [abs]
  3. Aloui, T; Serpa, RB; Abboud, N; Horvath, KL; Keogh, J; Parker, CB; Stern, JC; Denton, MB; Sartorelli, ML; Glass, JT; Gehm, ME; Amsden, JJ, A super-resolution proof of concept in a cycloidal coded aperture miniature mass spectrometer, Rapid Communications in Mass Spectrometry (January, 2023) [doi]  [abs]
  4. Coccarelli, D; Dudley, C; Pike, D; Greenberg, R; Moody, R; Franco, E; Richmond, T; Kapadia, AJ; Gehm, ME; Greenberg, JA, Performance of a high-throughput full-tunnel XRD checked baggage scanning system, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12531 (January, 2023), ISBN 9781510661769 [doi]  [abs]
  5. Ruiz, SD; Hurlock, AX; Yang, S; Martinez, M; Thamvichai, R; Greenberg, JA; Ashok, A; Gehm, ME, Simulation and information-theoretic analysis of a hybrid CT+XRD imaging system, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12531 (January, 2023), ISBN 9781510661769 [doi]  [abs]
  6. Martinez, M; Stohn, A; Gehm, M, Imaging asymmetry in the presence of a bright interferent, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12693 (January, 2023), ISBN 9781510666009 [doi]  [abs]
  7. Stohn, A; Boyarsky, M; Martinez, M; Gehm, ME, Towards creation of an asymmetric vision environment, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12693 (January, 2023), ISBN 9781510666009 [doi]  [abs]

Glass, Jeffrey T.

  1. Ma, S. Y. and Chen, H. X. and Glass, J. T. and Parker, C. B. and Li, Y. and Laudon, M. and Romanowicz, B., Influence of Al-doping and Oxygen Partial Pressure on the Optical Properties of ZnO Films, Nanotech Conference & Expo 2009, Vol 1, Technical Proceedings (2009), pp. 273--276
  2. Natarajan, Srividya and Parker, Charles B. and Glass, Jeffrey T. and Bower, Christopher A. and Gilchrist, Kristin H. and Piascik, Jeffrey R. and Stoner, Brian R. and IEEE, High voltage MEMS platform for fully integrated, on-chip, vacuum electronic devices, 2008 Ieee International Vacuum Electronics Conference (2008), pp. 24--25
  3. X. D. Zhang and J. S. Lewis and S. D. Wolter and C. B. Parker and J. T. Glass, High sensitivity permeation measurement system for "ultrabarrier" thin films, Journal Of Vacuum Science & Technology A, vol. 25 no. 6 (2007), pp. 1587 -- 1593, ISSN 0734-2101  [abs]
  4. LIU, J. and ZHIRNOV, VV and MYERS, AF and WOJAK, GJ and CHOI, WB and HREN, JJ and WOLTER, SD and MCCLURE, MT and GLASS, JT and VIDE, SOC FRANCAISE, DIAMOND-COATED SILICON FIELD EMITTERS, Ivmc 94 - 7th International Vacuum Microelectronics Conference (1994), pp. 104--107
  5. Kohl, R. and Wild, C. and Herres, N. and Koidl, P. and Stoner, B.R. and Glass, J.T., Oriented nucleation and growth of diamond films on β-SiC and Si, Appl. Phys. Lett. (USA), vol. 63 no. 13 (27), pp. 1792 - 4 [1.110664]  [abs]
  6. Kong, H.S. and Glass, J.T. and Davis, R.F., Chemical vapor deposition and characterization of 6H-SiC thin films on off-axis 6H-SiC substrates, J. Appl. Phys. (USA), vol. 64 no. 5 (1), pp. 2672 - 9 [1.341608]  [abs]

Guilak, Farshid

  1. Flahiff, C.M. and Narmoneva, D.A. and Huebner, J.L. and Kraus, V.B. and Guilak, F. and Setton, L.A., Osmotic loading to determine the intrinsic material properties of guinea pig knee cartilage, J. Biomech. (UK), vol. 35 no. 9 , pp. 1285 - 90 [S0021-9290(02)00079-9]  [abs]

Haase, Steven B.

  1. Hasnain, A; Balakrishnan, S; Joshy, DM; Smith, J; Haase, SB; Yeung, E, Author Correction: Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics., Nature communications, vol. 15 no. 1 (March, 2024), pp. 2034 [doi]
  2. Fox, J; Cummins, B; Moseley, RC; Gameiro, M; Haase, SB, A yeast cell cycle pulse generator model shows consistency with multiple oscillatory and checkpoint mutant datasets., Mathematical biosciences, vol. 367 (January, 2024), pp. 109102 [doi]  [abs]
  3. Motta, FC; McGoff, K; Moseley, RC; Cho, C-Y; Kelliher, CM; Smith, LM; Ortiz, MS; Leman, AR; Campione, SA; Devos, N; Chaorattanakawee, S; Uthaimongkol, N; Kuntawunginn, W; Thongpiam, C; Thamnurak, C; Arsanok, M; Wojnarski, M; Vanchayangkul, P; Boonyalai, N; Smith, PL; Spring, MD; Jongsakul, K; Chuang, I; Harer, J; Haase, SB, The parasite intraerythrocytic cycle and human circadian cycle are coupled during malaria infection., Proceedings of the National Academy of Sciences of the United States of America, vol. 120 no. 24 (June, 2023), pp. e2216522120 [doi]  [abs]
  4. Campione, SA; Kelliher, CM; Orlando, DA; Tran, TQ; Haase, SB, Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons., Journal of visualized experiments : JoVE no. 196 (June, 2023) [doi]  [abs]
  5. Hasnain, A; Balakrishnan, S; Joshy, DM; Smith, J; Haase, SB; Yeung, E, Learning perturbation-inducible cell states from observability analysis of transcriptome dynamics., Nature communications, vol. 14 no. 1 (May, 2023), pp. 3148 [doi]  [abs]
  6. Leins, DA; Haase, SB; Eslami, M; Schrier, J; Freeman, JT, Collaborative methods to enhance reproducibility and accelerate discovery, Digital Discovery, vol. 2 no. 1 (February, 2023), pp. 12-27 [doi]  [abs]
  7. Cummins, B; Vrana, J; Moseley, RC; Eramian, H; Deckard, A; Fontanarrosa, P; Bryce, D; Weston, M; Zheng, G; Nowak, J; Motta, FC; Eslami, M; Johnson, KL; Goldman, RP; Myers, CJ; Johnson, T; Vaughn, MW; Gaffney, N; Urrutia, J; Gopaulakrishnan, S; Biggers, V; Higa, TR; Mosqueda, LA; Gameiro, M; Gedeon, T; Mischaikow, K; Beal, J; Bartley, B; Mitchell, T; Nguyen, TT; Roehner, N; Haase, SB, Robustness and reproducibility of simple and complex synthetic logic circuit designs using a DBTL loop., Synthetic biology (Oxford, England), vol. 8 no. 1 (January, 2023), pp. ysad005 [doi]  [abs]
  8. D. A. Orlando and C. Y. Lin and A. Bernard and E. S. Iversen and A. J. Hartemink and S. B. Haase, A probabilistic model for cell cycle distributions in synchrony experiments., Cell Cycle, vol. 6 no. 4 (February, 2007), pp. 478-88, ISSN 1551-4005  [abs]
  9. SB Haase, SI Reed, Improved flow cytometric analysis of the budding yeast cell cycle., Cell cycle (Georgetown, Tex.), United States, vol. 1 no. 2 (January, 2003), pp. 132-6, ISSN 1538-4101  [abs]
  10. MK Chee, SB Haase, B-cyclin/CDKs regulate mitotic spindle assembly by phosphorylating kinesins-5 in budding yeast., PLoS genetics, vol. 6 no. 5 (05-06-2010), pp. e1000935, ISSN 1553-7404 [doi]  [abs]

Hargrove, Amanda

  1. Bailey, MA; Martyr, JG; Hargrove, AE; Fitzgerald, MC, Stability-Based Proteomics for Investigation of Structured RNA-Protein Interactions., Analytical chemistry (February, 2024) [doi]  [abs]
  2. Hymon, D; Martins, J; Richter, C; Sreeramulu, S; Wacker, A; Ferner, J; Patwardhan, NN; Hargrove, AE; Schwalbe, H, NMR 1H,19F-based screening of the four stem-looped structure 5_SL1-SL4 located in the 5'-untranslated region of SARS-CoV 2 RNA., RSC medicinal chemistry, vol. 15 no. 1 (January, 2024), pp. 165-177, Royal Society of Chemistry (RSC) [doi]  [abs]
  3. Vögele, J; Hymon, D; Martins, J; Ferner, J; Jonker, HRA; Hargrove, AE; Weigand, JE; Wacker, A; Schwalbe, H; Wöhnert, J; Duchardt-Ferner, E, High-resolution structure of stem-loop 4 from the 5'-UTR of SARS-CoV-2 solved by solution state NMR., Nucleic acids research, vol. 51 no. 20 (November, 2023), pp. 11318-11331 [doi]  [abs]
  4. Bagnolini, G; Luu, TB; Hargrove, AE, Recognizing the power of machine learning and other computational methods to accelerate progress in small molecule targeting of RNA., RNA (New York, N.Y.), vol. 29 no. 4 (April, 2023), pp. 473-488, Cold Spring Harbor Laboratory [doi]  [abs]
  5. Davila-Calderon, J; Li, M-L; Penumutchu, SR; Haddad, C; Malcolm, L; Hargrove, AE; Brewer, G; Tolbert, BS, Enterovirus Evolution Reveals the Mechanism of an RNA-Targeted Antiviral and Determinants of Viral Replication, in Cold Spring Harbor Laboratory, vol. 10 no. 7 (February, 2023), pp. eadg3060, American Association for the Advancement of Science (AAAS) [doi]  [abs]

Izatt, Joseph A.

  1. Izatt, J.A. and Kulkami, M.D. and Yazdanfar, S. and Barton, J.K. and Welch, A.J., In vivo bidirectional color Doppler flow imaging of picoliter blood volumes using optical coherence tomography, Opt. Lett. (USA), vol. 22 no. 18 (15), pp. 1439 - 41  [abs]
  2. Barton, J.K. and Welch, A.J. and Izatt, J.A., Investigating pulsed dye laser-blood vessel interaction with color Doppler optical coherence tomography, Opt. Express (USA), vol. 3 no. 6 (14)  [abs]
  3. Rollins, A.M. and Kulkarni, M.D. and Yazdanfar, S. and Ung-arunyawee, R. and Izatt, J.A., In vivo video rate optical coherence tomography, Opt. Express (USA), vol. 3 no. 6 (14)  [abs]
  4. Choma, M.A. and Sarunic, M.V. and Changhuei Yang and Izatt, J.A., Sensitivity advantage of swept source and Fourier domain optical coherence tomography, Opt. Express (USA), vol. 11 no. 18 (8)  [abs]
  5. Changhuei Yang and McGuckin, L.E.L. and Simon, J.D. and Choma, M.A. and Applegate, B.E. and Izatt, J.A., Spectral triangulation molecular contrast optical coherence tomography with indocyanine green as the contrast agent, Opt. Lett. (USA), vol. 29 no. 17 (1), pp. 2016 - 18 [OL.29.002016]  [abs]

Janiak, Andrew

  1. Gessell, B; Janiak, A, Physics and optics: Agnesi, Bassi, Du Châtelet, in The Routledge Handbook of Women and Early Modern European Philosophy (June, 2023), pp. 174-186, ISBN 9781138212756 [doi]
  2. Janiak, A, A Tale of Two Forces: Metaphysics and its Avoidance in Newton’s Principia, in Boston Studies in the Philosophy and History of Science, vol. 343 (January, 2023), pp. 223-242 [doi]  [abs]

Johnsen, Sonke

  1. Caves, EM; Davis, AL; Nowicki, S; Johnsen, S, Backgrounds and the evolution of visual signals., Trends in ecology & evolution, vol. 39 no. 2 (February, 2024), pp. 188-198 [doi]  [abs]
  2. Notar, JC; Go, MC; Johnsen, S, Learning without a brain: classical conditioning in the ophiuroid Ophiocoma echinata, Behavioral Ecology and Sociobiology, vol. 77 no. 11 (November, 2023) [doi]  [abs]
  3. Nilsson, D-E; Johnsen, S; Warrant, E, Cephalopod versus vertebrate eyes., Current biology : CB, vol. 33 no. 20 (October, 2023), pp. R1100-R1105 [doi]  [abs]
  4. Caves, EM; Sutton, TT; Warrant, EJ; Johnsen, S, Measures and models of visual acuity in epipelagic and mesopelagic teleosts and elasmobranchs., Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology, vol. 209 no. 5 (September, 2023), pp. 807-826 [doi]  [abs]
  5. McCoy, DE; Shultz, AJ; Dall, JE; Dionne, JA; Johnsen, S, The carotenoid redshift: Physical basis and implications for visual signaling., Ecology and evolution, vol. 13 no. 9 (September, 2023), pp. e10408 [doi]  [abs]
  6. Schweikert, LE; Bagge, LE; Naughton, LF; Bolin, JR; Wheeler, BR; Grace, MS; Bracken-Grissom, HD; Johnsen, S, Dynamic light filtering over dermal opsin as a sensory feedback system in fish color change., Nature communications, vol. 14 no. 1 (August, 2023), pp. 4642 [doi]  [abs]
  7. Mullan, R; Davis, AD; Sutton, TT; Johnsen, S, An Investigation into the Mechanism Mediating Counterillumination in Myctophid Fishes (Myctophidae)., The Biological bulletin, vol. 244 no. 1 (February, 2023), pp. 63-69 [doi]  [abs]

Johnson, G. Allan

  1. Correction for Johnson et al., Merged magnetic resonance and light sheet microscopy of the whole mouse brain., Proc Natl Acad Sci U S A, vol. 120 no. 25 (June, 2023), pp. e2308718120 [doi]
  2. Johnson, GA; Tian, Y; Ashbrook, DG; Cofer, GP; Cook, JJ; Gee, JC; Hall, A; Hornburg, K; Kaczorowski, CC; Qi, Y; Yeh, F-C; Wang, N; White, LE; Williams, RW, Merged magnetic resonance and light sheet microscopy of the whole mouse brain., Proc Natl Acad Sci U S A, vol. 120 no. 17 (April, 2023), pp. e2218617120 [doi]  [abs]
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  6. D. W. Fischer and R. G. Harvey and T. T. Bauman and S. Phillips and S. E. Hart and G. A. Johnson and J. J. Kells and P. Westra and J. Lindquist, Common lambsquarters (Chenopodium album) interference with corn across the northcentral United States, Weed Science, vol. 52 no. 6 (2004), pp. 1034 -- 1038
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  15. W. P. Griffin and E. B. Savage and R. E. Clark and J. J. Pacella and G. A. Johnson and J. A. Magovern and G. J. Magovern, AB-180 circulatory support system - Summary of development and phase I clinical trial, Asaio Journal, vol. 44 no. 5 (1998), pp. M719 -- M724
  16. J. Cardina and G. A. Johnson and D. H. Sparrow, The nature and consequence of weed spatial distribution, Weed Science, vol. 45 no. 3 (1997), pp. 364 -- 373
  17. R. Gerhards and D. Y. Wysepester and D. Mortensen and G. A. Johnson, Characterizing spatial stability of weed populations using interpolated maps, Weed Science, vol. 45 no. 1 (1997), pp. 108 -- 119
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  20. P. W. Burvill and G. A. Johnson and T. M. H. Chakera and E. G. Stewartwynne and C. S. Anderson and K. D. Jamrozik, The place of site of lesion in the aetiology of post-stroke depression, Cerebrovascular Diseases, vol. 6 no. 4 (1996), pp. 208 -- 215
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  23. C. H. Nielsen and G. A. Johnson, The experience of complete neuromuscular blockade in awake patients, Journal Of Clinical Anesthesia, vol. 6 no. 5 (1994), pp. 450 -- 450
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Jokerst, Nan M.

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Kiehart, Daniel P.

  1. DP Kiehart and K Bloom, Cell structure and dynamics - Editorial overview, Current Opinion in Cell Biology, vol. 19 no. 1 , pp. 1-4, ISSN {0955-0674}

Kim, Jungsang

  1. Zhao, L; Goings, J; Shin, K; Kyoung, W; Fuks, JI; Kevin Rhee, JK; Rhee, YM; Wright, K; Nguyen, J; Kim, J; Johri, S, Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers, npj Quantum Information, vol. 9 no. 1 (December, 2023) [doi]  [abs]
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Kirsch, David G

  1. Kirsch DG, Hornicek FJ. Radiation Therapy for Soft-Tissue Sarcomas.  In Schwartz HS, editor. Orthopaedic Knowledge Update: Musculoskeletal Tumors ed 2 Rosemont, IL, American Association of Orthopaedic Surgeons. 2007, pp 313-320.
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Krolik, Jeffrey L.

  1. Gonzalez Delgado, R.M. and Heckman, T. and Leitherer, C. and Meurer, G. and Krolik, J. and Wilson, A.S. and Kinney, A. and Koratkar, A., Ultraviolet-optical observations of the Seyfert 2 galaxies NGC 7130, NGC 5135, and IC 3639: implications for the starburst-active galactic nucleus connection, Astrophys. J. (USA), vol. 505 no. 1 (20), pp. 174 - 98 [306154]  [abs]
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Lazarides, Anne A

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Leong, Kam W.

  1. Yim, E.K.F. and Reano, R.M. and Pang, S.W. and Yee, A.F. and Chen, C.S. and Leong, K.W., Nanopattern-induced changes in morphology and motility of smooth muscle cells, Biomaterials (UK), vol. 26 no. 26 , pp. 5405 - 13 [058]  [abs]

Liu, Jie

  1. Offen, AJ; Geng, Z; Yu, Y; Liu, J, “A Lot’s in a Name”: Insights from Debates on Thermal and Nonthermal Effects in Plasmonic Catalysis, ACS Applied Energy Materials, vol. 6 no. 23 (December, 2023), pp. 11762-11772 [doi]  [abs]
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Lu, Jianfeng

  1. Chen, Z; Lu, J; Lu, Y; Zhang, X, On the Convergence of Sobolev Gradient Flow for the Gross–Pitaevskii Eigenvalue Problem, SIAM Journal on Numerical Analysis, vol. 62 no. 2 (April, 2024), pp. 667-691, Society for Industrial & Applied Mathematics (SIAM) [doi]
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Malkin, Robert A

  1. Malkin, R.A. and Penzotti, J.E. and Juhlin, S.P. and Pilkington, T.C. and Plonsey, R., Statistical analysis of signals from an intracavitary probe in a diseased heart, Med. Biol. Eng. Comput. (UK), vol. 35 no. 5 , pp. 462 - 6  [abs]

Massoud, Hisham Z.

  1. Mirabedini, M.R. and Goodwin-Johansson, S.H. and Massoud, H.Z. and Fair, R.B., Subquarter-micrometre elevated source-and-drain MOSFET structure using polysilicon spacers, Electron. Lett. (UK), vol. 30 no. 19 (15), pp. 1631 - 2 [el:19941068]  [abs]
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Mitzi, David

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Myers, Barry S.

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Pei, Zhen-Ming

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Pitsianis, Nikos

  1. Naserentin, V; Spaias, G; Kaimakamidis, A; Pitsianis, N; Logg, A, A Review and Case Study of Neural Network Techniques for Automated Generation of High Level-of-Detail 3D City Models, Springer Proceedings in Mathematics and Statistics, vol. 429 (January, 2023), pp. 261-283, ISBN 9783031358708 [doi]  [abs]
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Ramanujam, Nimmi

  1. C. F. Zhu and G. M. Palmer and T. M. Breslin and J. Harter and N. Ramanujam, Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach, Journal Of Biomedical Optics, vol. 13 no. 3 (2008), ISSN 1083-3668  [abs]
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Reif, John H.

  1. Nagipogu, RT; Fu, D; Reif, JH, A survey on molecular-scale learning systems with relevance to DNA computing., Nanoscale, vol. 15 no. 17 (May, 2023), pp. 7676-7694 [doi]  [abs]

Sapiro, Guillermo

  1. Isaev, DY; Vlasova, RM; Di Martino, JM; Stephen, CD; Schmahmann, JD; Sapiro, G; Gupta, AS, Uncertainty of Vowel Predictions as a Digital Biomarker for Ataxic Dysarthria., Cerebellum (London, England), vol. 23 no. 2 (April, 2024), pp. 459-470 [doi]  [abs]
  2. Franz, L; Viljoen, M; Askew, S; Brown, M; Dawson, G; Di Martino, JM; Sapiro, G; Sebolai, K; Seris, N; Shabalala, N; Stahmer, A; Turner, EL; de Vries, PJ, Autism Caregiver Coaching in Africa (ACACIA): Protocol for a type 1-hybrid effectiveness-implementation trial., PLoS One, vol. 19 no. 1 (2024), pp. e0291883 [doi]  [abs]
  3. Nazaret, A; Tonekaboni, S; Darnell, G; Ren, SY; Sapiro, G; Miller, AC, Modeling personalized heart rate response to exercise and environmental factors with wearables data, npj Digital Medicine, vol. 6 no. 1 (December, 2023) [doi]  [abs]
  4. Schlesinger, O; Kundu, R; Goetz, S; Sapiro, G; Peterchev, AV; Di Martino, JM, Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors., Clin Image Based Proced Fairness AI Med Imaging Ethical Philos Issues Med Imaging (2023), vol. 14242 (October, 2023), pp. 12-20, ISBN 9783031452482 [doi]  [abs]
  5. Perochon, S; Di Martino, JM; Carpenter, KLH; Compton, S; Davis, N; Eichner, B; Espinosa, S; Franz, L; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Early detection of autism using digital behavioral phenotyping., Nat Med, vol. 29 no. 10 (October, 2023), pp. 2489-2497 [doi]  [abs]
  6. Nazaret, A; Sapiro, G, A large-scale observational study of the causal effects of a behavioral health nudge., Science advances, vol. 9 no. 38 (September, 2023), pp. eadi1752 [doi]  [abs]
  7. Chen, J; Engelhard, M; Henao, R; Berchuck, S; Eichner, B; Perrin, EM; Sapiro, G; Dawson, G, Enhancing early autism prediction based on electronic records using clinical narratives., J Biomed Inform, vol. 144 (August, 2023), pp. 104390 [doi]  [abs]
  8. Coffman, M; Di Martino, JM; Aiello, R; Carpenter, KLH; Chang, Z; Compton, S; Eichner, B; Espinosa, S; Flowers, J; Franz, L; Perochon, S; Krishnappa Babu, PR; Sapiro, G; Dawson, G, Relationship between quantitative digital behavioral features and clinical profiles in young autistic children., Autism Res, vol. 16 no. 7 (July, 2023), pp. 1360-1374 [doi]  [abs]
  9. Krishnappa Babu, PR; Aikat, V; Di Martino, JM; Chang, Z; Perochon, S; Espinosa, S; Aiello, R; L H Carpenter, K; Compton, S; Davis, N; Eichner, B; Flowers, J; Franz, L; Dawson, G; Sapiro, G, Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach., Sci Rep, vol. 13 no. 1 (May, 2023), pp. 7158 [doi]  [abs]
  10. Isaev, DY; Sabatos-DeVito, M; Di Martino, JM; Carpenter, K; Aiello, R; Compton, S; Davis, N; Franz, L; Sullivan, C; Dawson, G; Sapiro, G, Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report., J Autism Dev Disord (April, 2023) [doi]  [abs]
  11. Perochon, S; Matias Di Martino, J; Carpenter, KLH; Compton, S; Davis, N; Espinosa, S; Franz, L; Rieder, AD; Sullivan, C; Sapiro, G; Dawson, G, A tablet-based game for the assessment of visual motor skills in autistic children., NPJ Digit Med, vol. 6 no. 1 (February, 2023), pp. 17 [doi]  [abs]
  12. Engelhard, MM; Henao, R; Berchuck, SI; Chen, J; Eichner, B; Herkert, D; Kollins, SH; Olson, A; Perrin, EM; Rogers, U; Sullivan, C; Zhu, Y; Sapiro, G; Dawson, G, Predictive Value of Early Autism Detection Models Based on Electronic Health Record Data Collected Before Age 1 Year., JAMA Netw Open, vol. 6 no. 2 (February, 2023), pp. e2254303 [doi]  [abs]
  13. Krishnappa Babu, PR; Di Martino, JM; Chang, Z; Perochon, S; Aiello, R; Carpenter, KLH; Compton, S; Davis, N; Franz, L; Espinosa, S; Flowers, J; Dawson, G; Sapiro, G, Complexity analysis of head movements in autistic toddlers., J Child Psychol Psychiatry, vol. 64 no. 1 (January, 2023), pp. 156-166 [doi]  [abs]
  14. Solomon, O; Patriat, R; Braun, H; Palnitkar, TE; Moeller, S; Auerbach, EJ; Ugurbil, K; Sapiro, G; Harel, N, Motion robust magnetic resonance imaging via efficient Fourier aggregation., Medical image analysis, vol. 83 (January, 2023), pp. 102638 [doi]  [abs]
  15. Babu, PRK; Di Martino, JM; Chang, Z; Perochon, S; Carpenter, KLH; Compton, S; Espinosa, S; Dawson, G; Sapiro, G, Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder., IEEE Trans Affect Comput, vol. 14 no. 2 (2023), pp. 919-930 [doi]  [abs]

Stiff-Roberts, Adrienne D.

  1. R. Pate and K. R. Lantz and A. D. Stiff-roberts, Tabletop resonant infrared matrix-assisted pulsed laser evaporation of light-emitting organic thin films, Ieee Journal Of Selected Topics In Quantum Electronics, vol. 14 no. 4 (2008), pp. 1022 -- 1030, ISSN 1077-260X  [abs]
  2. Z. Y. Zhao and C. Yi and A. D. Stiff-roberts and A. J. Hoffman and D. Wasserman and C. Gmachl, DX-like centers in InAs/GaAs QDIPs observed by polarization-dependent Fourier transform infrared spectroscopy, Journal Of Vacuum Science & Technology B, vol. 25 no. 3 (2007), pp. 1108 -- 1112, ISSN 1071-1023  [abs]

Sun, Tai-ping

  1. Shani, E; Hedden, P; Sun, T-P, Highlights in Gibberellin Research: A Tale of the Dwarf and the Slender., Plant physiology (January, 2024), pp. kiae044 [doi]  [abs]
  2. Huang, X; Tian, H; Park, J; Oh, D-H; Hu, J; Zentella, R; Qiao, H; Dassanayake, M; Sun, T-P, The master growth regulator DELLA binding to histone H2A is essential for DELLA-mediated global transcription regulation., Nature plants, vol. 9 no. 8 (August, 2023), pp. 1291-1305 [doi]  [abs]
  3. Hu, J; Li, X; Sun, T-P, Four class A AUXIN RESPONSE FACTORs promote tomato fruit growth despite suppressing fruit set., Nature plants, vol. 9 no. 5 (May, 2023), pp. 706-719 [doi]  [abs]
  4. Kumar, S; Wang, Y; Zhou, Y; Dillard, L; Li, F-W; Sciandra, CA; Sui, N; Zentella, R; Zahn, E; Shabanowitz, J; Hunt, DF; Borgnia, MJ; Bartesaghi, A; Sun, T-P; Zhou, P, Structure and dynamics of the Arabidopsis O-fucosyltransferase SPINDLY., Nat Commun, vol. 14 no. 1 (March, 2023), pp. 1538 [doi]  [abs]
  5. Zentella, R; Wang, Y; Zahn, E; Hu, J; Jiang, L; Shabanowitz, J; Hunt, DF; Sun, T-P, SPINDLY O-fucosylates nuclear and cytoplasmic proteins involved in diverse cellular processes in plants., Plant physiology, vol. 191 no. 3 (March, 2023), pp. 1546-1560 [doi]  [abs]
  6. Cupil-Garcia, V; Li, JQ; Norton, SJ; Odion, RA; Strobbia, P; Menozzi, L; Ma, C; Hu, J; Zentella, R; Boyanov, MI; Finfrock, YZ; Gursoy, D; Douglas, DS; Yao, J; Sun, T-P; Kemner, KM; Vo-Dinh, T, Plasmonic nanorod probes' journey inside plant cells for in vivo SERS sensing and multimodal imaging., Nanoscale, vol. 15 no. 13 (March, 2023), pp. 6396-6407 [doi]  [abs]

Sun, Xiaobai

  1. Pitsianis, N; Floros, D; Liu, T; Sun, X, Parallel Clustering with Resolution Variation, 2023 IEEE High Performance Extreme Computing Conference, HPEC 2023 (January, 2023), ISBN 9798350308600 [doi]  [abs]

Therien, Michael J.

  1. Mastrocinque, F; Bullard, G; Alatis, JA; Albro, JA; Nayak, A; Williams, NX; Kumbhar, A; Meikle, H; Widel, ZXW; Bai, Y; Harvey, AK; Atkin, JM; Waldeck, DH; Franklin, AD; Therien, MJ, Band gap opening of metallic single-walled carbon nanotubes via noncovalent symmetry breaking., Proceedings of the National Academy of Sciences of the United States of America, vol. 121 no. 12 (March, 2024), pp. e2317078121 [doi]  [abs]
  2. Ko, C-H; Zhu, Q; Bullard, G; Tassinari, F; Morisue, M; Naaman, R; Therien, MJ, Electron Spin Polarization and Rectification Driven by Chiral Perylene Diimide-Based Nanodonuts., The journal of physical chemistry letters, vol. 14 no. 45 (November, 2023), pp. 10271-10277 [doi]  [abs]
  3. Liu, R; Zhu, J; Rawson, J; Pederson, LR; Cinnater, VL; Mansergh, JP; Therien, MJ, Synthesis and functionalization of electron-deficient perfluoroalkyl porphyrin building blocks for supermolecular systems, Journal of Porphyrins and Phthalocyanines, vol. 27 no. 5 (May, 2023), pp. 741-756 [doi]  [abs]
  4. Lu, S; Smith, BN; Meikle, H; Therien, MJ; Franklin, AD, All-Carbon Thin-Film Transistors Using Water-Only Printing., Nano letters, vol. 23 no. 6 (March, 2023), pp. 2100-2106 [doi]  [abs]

Toone, Eric J.

  1. Zhao, J; Cochrane, CS; Najeeb, J; Gooden, D; Sciandra, C; Fan, P; Lemaitre, N; Newns, K; Nicholas, RA; Guan, Z; Thaden, JT; Fowler, VG; Spasojevic, I; Sebbane, F; Toone, EJ; Duncan, C; Gammans, R; Zhou, P, Preclinical safety and efficacy characterization of an LpxC inhibitor against Gram-negative pathogens., Sci Transl Med, vol. 15 no. 708 (August, 2023), pp. eadf5668 [doi]  [abs]

Truskey, George A.

  1. Torgan, C.E. and Burge, S.S. and Collinsworth, A.M. and Truskey, G.A. and Kraus, W.E., Differentiation of mammalian skeletal muscle cells cultured on microcarrier beads in a rotating cell culture system, Med. Biol. Eng. Comput. (UK), vol. 38 no. 5 , pp. 583 - 90  [abs]

Vo-Dinh, Tuan

  1. Canning, AJ; Vo-Dinh, T, Caged gold nanostars: a novel plasmonic nanoplatform with potential theranostic applications., Nanoscale (April, 2024) [doi]  [abs]
  2. Naquin, TD; Canning, AJ; Gu, Y; Chen, J; Naquin, CM; Xia, J; Lu, B; Yang, S; Koroza, A; Lin, K; Wang, H-N; Jeck, WR; Lee, LP; Vo-Dinh, T; Huang, TJ, Acoustic separation and concentration of exosomes for nucleotide detection: ASCENDx., Sci Adv, vol. 10 no. 10 (March, 2024), pp. eadm8597 [doi]  [abs]
  3. Atta, S; Canning, AJ; Vo-Dinh, T, A simple low-cost flexible plasmonic patch based on spiky gold nanostars for ultra-sensitive SERS sensing., The Analyst, vol. 149 no. 7 (March, 2024), pp. 2084-2096 [doi]  [abs]
  4. Atta, S; Zhao, Y; Li, JQ; Vo-Dinh, T, Dual-Modal Colorimetric and Surface-Enhanced Raman Scattering (SERS)-Based Lateral Flow Immunoassay for Ultrasensitive Detection of SARS-CoV-2 Using a Plasmonic Gold Nanocrown., Analytical chemistry, vol. 96 no. 12 (March, 2024), pp. 4783-4790 [doi]  [abs]
  5. Vu, T; Klippel, P; Canning, AJ; Ma, C; Zhang, H; Kasatkina, LA; Tang, Y; Xia, J; Verkhusha, VV; Vo-Dinh, T; Jing, Y; Yao, J, On the Importance of Low-Frequency Signals in Functional and Molecular Photoacoustic Computed Tomography., IEEE transactions on medical imaging, vol. 43 no. 2 (February, 2024), pp. 771-783 [doi]  [abs]
  6. Li, JQ; Neng-Wang, H; Canning, AJ; Gaona, A; Crawford, BM; Garman, KS; Vo-Dinh, T, Surface-Enhanced Raman Spectroscopy-Based Detection of Micro-RNA Biomarkers for Biomedical Diagnosis Using a Comparative Study of Interpretable Machine Learning Algorithms., Appl Spectrosc, vol. 78 no. 1 (January, 2024), pp. 84-98 [doi]  [abs]
  7. Atta, S; Canning, AJ; Vo-Dinh, T, Rapid SERS assay for determination of the opioid fentanyl using silver-coated sharply branched gold nanostars., Mikrochimica acta, vol. 191 no. 2 (January, 2024), pp. 110 [doi]  [abs]
  8. Atta, S; Li, JQ; Vo-Dinh, T, Multiplex SERS detection of polycyclic aromatic hydrocarbon (PAH) pollutants in water samples using gold nanostars and machine learning analysis., The Analyst, vol. 148 no. 20 (October, 2023), pp. 5105-5116 [doi]  [abs]
  9. Srinivasan, ES; Liu, Y; Odion, RA; Chongsathidkiet, P; Wachsmuth, LP; Haskell-Mendoza, AP; Edwards, RM; Canning, AJ; Willoughby, G; Hinton, J; Norton, SJ; Lascola, CD; Maccarini, PF; Mariani, CL; Vo-Dinh, T; Fecci, PE, Gold Nanostars Obviate Limitations to Laser Interstitial Thermal Therapy (LITT) for the Treatment of Intracranial Tumors., Clin Cancer Res, vol. 29 no. 16 (August, 2023), pp. 3214-3224 [doi]  [abs]
  10. Li, S; Anwar, IJ; Canning, AJ; Vo-Dinh, T; Kirk, AD; Xu, H, Xenorecognition and costimulation of porcine endothelium-derived extracellular vesicles in initiating human porcine-specific T cell immune responses., Am J Transplant, vol. 23 no. 7 (July, 2023), pp. 904-919 [doi]  [abs]
  11. Wang, H-N; Vo-Dinh, T, Cascade Amplified Plasmonics Molecular Biosensor for Sensitive Detection of Disease Biomarkers., Biosensors, vol. 13 no. 8 (July, 2023), pp. 774 [doi]  [abs]
  12. Atta, S; Vo-Dinh, T, Ultra-trace SERS detection of cocaine and heroin using bimetallic gold-silver nanostars (BGNS-Ag)., Analytica chimica acta, vol. 1251 (April, 2023), pp. 340956 [doi]  [abs]
  13. Atta, S; Vo-Dinh, T, A hybrid plasmonic nanoprobe using polyvinylpyrrolidone-capped bimetallic silver-gold nanostars for highly sensitive and reproducible solution-based SERS sensing., The Analyst, vol. 148 no. 8 (April, 2023), pp. 1786-1796 [doi]  [abs]
  14. Atta, S; Canning, AJ; Odion, R; Wang, HN; Hau, D; Devadhasan, JP; Summers, AJ; Gates-Hollingsworth, MA; Pflughoeft, KJ; Gu, J; Montgomery, DC; AuCoin, DP; Zenhausern, F; Vo-Dinh, T, Sharp Branched Gold Nanostar-Based Lateral-Flow Immunoassay for Detection of Yersinia pestis, ACS Applied Nano Materials, vol. 6 no. 5 (March, 2023), pp. 3884-3892 [doi]  [abs]
  15. Cupil-Garcia, V; Li, JQ; Norton, SJ; Odion, RA; Strobbia, P; Menozzi, L; Ma, C; Hu, J; Zentella, R; Boyanov, MI; Finfrock, YZ; Gursoy, D; Douglas, DS; Yao, J; Sun, T-P; Kemner, KM; Vo-Dinh, T, Plasmonic nanorod probes' journey inside plant cells for in vivo SERS sensing and multimodal imaging., Nanoscale, vol. 15 no. 13 (March, 2023), pp. 6396-6407 [doi]  [abs]
  16. Atta, S; Vo-Dinh, T, Solution-Based Ultra-Sensitive Surface-Enhanced Raman Scattering Detection of the Toxin Bacterial Biomarker Pyocyanin in Biological Fluids Using Sharp-Branched Gold Nanostars., Analytical chemistry, vol. 95 no. 5 (February, 2023), pp. 2690-2697 [doi]  [abs]
  17. Canning, AJ; Chen, X; Li, JQ; Jeck, WR; Wang, H-N; Vo-Dinh, T, miRNA probe integrated biosensor platform using bimetallic nanostars for amplification-free multiplexed detection of circulating colorectal cancer biomarkers in clinical samples., Biosens Bioelectron, vol. 220 (January, 2023), pp. 114855 [doi]  [abs]
  18. Devadhasan, JP; Summers, AJ; Gu, J; Smith, S; Thomas, B; Fattahi, A; Helton, J; Pandit, SG; Gates-Hollingsworth, M; Hau, D; Pflughoeft, KJ; Montgomery, DC; Atta, S; Vo-Dinh, T; AuCoin, D; Zenhausern, F, Point-of-care vertical flow immunoassay system for ultra-sensitive multiplex biothreat-agent detection in biological fluids., Biosensors & bioelectronics, vol. 219 (January, 2023), pp. 114796 [doi]  [abs]
  19. M. Panjehpour and D. Coppola and B. F. Overholt and T. Vo-dinh and S. Overholt, Photodynamic therapy of Barrett's esophagus: Ablation of Barrett's mucosa and reduction in p53 protein expression after treatment, Anticancer Research, vol. 28 no. 1B (2008), pp. 485 -- 489, ISSN 0250-7005  [abs]
  20. T. Vo-dinh, Nanobiosensing using plasmonic nanoprobes, Ieee Journal Of Selected Topics In Quantum Electronics, vol. 14 no. 1 (2008), pp. 198 -- 205, ISSN 1077-260X  [abs]

Warren, Warren S.

  1. Lindale, JR; Smith, LL; Mammen, MW; Eriksson, SL; Everhart, LM; Warren, WS, Multi-axis fields boost SABRE hyperpolarization., Proceedings of the National Academy of Sciences of the United States of America, vol. 121 no. 14 (April, 2024), pp. e2400066121 [doi]  [abs]
  2. Lindale, JR; Eriksson, SL; Warren, WS, Improved modeling of dynamic quantum systems using exact Lindblad master equations, Physical Review A, vol. 108 no. 1 (July, 2023) [doi]  [abs]
  3. Warren, WS, Comment on: ‘Experimental indications of non-classical brain function’ 2022 Journal of Physics Communications 6 105001, Journal of Physics Communications, vol. 7 no. 3 (March, 2023) [doi]  [abs]
  4. Muldoon, P; Warren, WS, ONCE I LOOKED INTO YOUR EYES: WITH AN INTRODUCTION, in Contemporary Poetry and Contemporary Science (January, 2023), pp. 167-169, ISBN 9780199258123 [doi]  [abs]

Wax, Adam P.

  1. Rancu, A; Chen, CX; Price, H; Wax, A, Multiscale optical phase fluctuations link disorder strength and fractal dimension of cell structure., Biophysical Journal, vol. 122 no. 7 (April, 2023), pp. 1390-1399 [doi]  [abs]
  2. Wax, A. and Thomas, J.E., Optical heterodyne imaging and Wigner phase space distributions, Opt. Lett. (USA), vol. 21 no. 18 (15), pp. 1427 - 9  [abs]
  3. Wax, A. and Bali, S. and Thomas, J.E., Optical phase-space distributions for low-coherence light, Opt. Lett. (USA), vol. 24 no. 17 (1), pp. 1188 - 90  [abs]

Wiley, Benjamin J.

  1. Guo, S; Boyarsky, M; Vigil, SA; Yu, Y; Moreno-Hernandez, IA; Gehm, ME; Wiley, BJ, Toward One-Way Smoke: Synthesis of Copper-Based Microclubs with Asymmetric Scattering and Absorption, Advanced Functional Materials (January, 2024) [doi]  [abs]
  2. Xu, H; Hao, S; Wiley, BJ, Anisotropic Growth of Silver Nanocubes: The Role of Bromide Adsorption and Hydrophilic Polymers, Chemistry of Materials, vol. 35 no. 17 (September, 2023), pp. 7196-7207 [doi]  [abs]
  3. Xu, H; Chen, Z; Hao, S; Fichthorn, KA; Wiley, BJ, Chloride enables the growth of Ag nanocubes and nanowires by making PVP binding facet-selective., Nanoscale, vol. 15 no. 11 (March, 2023), pp. 5219-5229 [doi]  [abs]
  4. Wiley, B, Introduction: Chemical, physical and mechanical properties of nanomaterials, in Encyclopedia of Nanomaterials (January, 2023), pp. V1-382-V1-382, ISBN 9780128224236 [doi]

Wu, Ying

  1. Liu, P; Yan, J; Afanasev, A; Benson, SV; Hao, H; Mikhailov, SF; Popov, VG; Wu, YK, Generation of superposed orbital angular momentum beams using a free-electron laser oscillator., Optics express, vol. 32 no. 2 (January, 2024), pp. 2235-2244, Optica Publishing Group [doi]  [abs]
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Yang, Weitao

  1. Li, J; Jin, Y; Yu, J; Yang, W; Zhu, T, Accurate Excitation Energies of Point Defects from Fast Particle-Particle Random Phase Approximation Calculations., The journal of physical chemistry letters, vol. 15 no. 10 (March, 2024), pp. 2757-2764 [doi]  [abs]
  2. Chen, Z; Yang, W, Development of a machine learning finite-range nonlocal density functional., The Journal of chemical physics, vol. 160 no. 1 (January, 2024), pp. 014105 [doi]  [abs]
  3. Li, J; Yu, J; Chen, Z; Yang, W, Linear Scaling Calculations of Excitation Energies with Active-Space Particle-Particle Random-Phase Approximation., The journal of physical chemistry. A, vol. 127 no. 37 (September, 2023), pp. 7811-7822 [doi]  [abs]
  4. Hu, H; Yang, W; Liu, S, Efficient Computation of the Electrostatic Component of Solvation Free Energy via a Two-Point Padé Approximation., Journal of chemical theory and computation, vol. 19 no. 15 (August, 2023), pp. 5142-5150 [doi]  [abs]
  5. Ayers, PW; Chattaraj, PK; Liu, S; Ruedenberg, K; Yang, W, Robert Ghormley Parr: September 22, 1921–March 27, 2017, Resonance, vol. 28 no. 7 (July, 2023), pp. 1011-1035 [doi]  [abs]
  6. Zhang, P; Yang, W, Toward a general neural network force field for protein simulations: Refining the intramolecular interaction in protein., The Journal of chemical physics, vol. 159 no. 2 (July, 2023), pp. 024118 [doi]  [abs]
  7. Kim, J-H; Kim, D; Yang, W; Baik, M-H, Fractional Charge Density Functional Theory and Its Application to the Electro-inductive Effect., The journal of physical chemistry letters, vol. 14 no. 13 (April, 2023), pp. 3329-3334 [doi]  [abs]

Zalutsky, Michael R.

  1. Zalutsky, M.R. and Macias, E.S., Measurement of the angular correlation between L-M X-ray cascades, Phys. Lett. A (Netherlands), vol. 49A no. 4 (23), pp. 285 - 6  [abs]
  2. McLendon, R.E. and Archer, G.E. and Larsen, R.H. and Akabani, G. and Bigner, D.D. and Zalutsky, M.R., Radiotoxicity of systemically administered 211At-labeled human/mouse chimeric monoclonal antibody: a long-term survival study with histologic analysis, Int. J. Radiat. Oncol. Biol. Phys. (USA), vol. 45 no. 2 (1), pp. 491 - 9 [S0360-3016(99)00206-0]  [abs]
  3. Walicka, M.A. and Vaidyanathan, G. and Zalutsky, M.R. and Adelstein, S.J. and Kassis, A.I., Survival and DNA damage in Chinese hamster V79 cells exposed to alpha particles emitted by DNA-incorporated astatine-211, Radiat. Res. (USA), vol. 150 no. 3 , pp. 263 - 8  [abs]
  4. Zalutsky, M.R. and Macias, E.S., Decay of 5.8 min 140Pmm and 10-sec 140Pmg to levels of 140Nd, Phys. Rev. C, Nucl. Phys. (USA), vol. 12 no. 3 , pp. 997 - 1002 [997]  [abs]
  5. Zalutsky, M.R. and Macias, E.S., Search for an anisotropy between Lℒ X-rays and γ rays in the decay of 243Cm, Phys. Rev. C, Nucl. Phys. (USA), vol. 12 no. 3 , pp. 1076 - 9 [1076]  [abs]
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