Jianfeng Lu, Professor of Mathematics and Physics and Associate Professor of Chemistry
Jianfeng Lu is an applied mathematician interested in mathematical analysis and algorithm development for problems from computational physics, theoretical chemistry, materials science and other related fields.
More specifically, his current research focuses include:
Electronic structure and many body problems; quantum molecular dynamics; multiscale modeling and analysis; rare events and sampling techniques.
- Contact Info:
Teaching (Spring 2022):
- MATH 660.01, NUMERICAL PARTIAL DIFF EQNS
- Physics 205, WF 08:30 AM-09:45 AM
- Office Hours:
- By email appointments
- Research Interests:
Mathematical analysis and algorithm development for problems from
computational physics, theoretical chemistry, materials science and others.
Electronic structure and many body problems;
Multiscale modeling and analysis; and
Rare events and sampling techniques.
- Areas of Interest:
- Applied Mathematics
Partial Differential Equations
- Curriculum Vitae
- Current Ph.D. Students
- Postdocs Mentored
- Haizhao Yang (July, 2015 - present)
- Zhennan Zhou (August, 2014 - present)
- Undergraduate Research Supervised
- Jeremy Tay (September, 2015 - December, 2015)
- Fuchsia Chen (January, 2015 - September, 2015)
- Leslie Lei (May, 2013 - May, 2014)
- Recent Publications
- Lu, J; Murphey, C; Steinerberger, S, Fast Localization of Eigenfunctions via Smoothed Potentials,
Journal of Scientific Computing, vol. 90 no. 1
(January, 2022) [doi] [abs]
- Lu, J; Otto, F, Optimal Artificial Boundary Condition for Random Elliptic Media,
Foundations of Computational Mathematics, vol. 21 no. 6
pp. 1643-1702 [doi] [abs]
- Chen, K; Chen, S; Li, Q; Lu, J; Wright, SJ, Low-rank approximation for multiscale PDEs
(November, 2021) [abs]
- Huang, H; Landsberg, JM; Lu, J, Geometry of backflow transformation ansatz for quantum many-body
(November, 2021) [abs]
- Cheng, C; Daubechies, I; Dym, N; Lu, J, Stable phase retrieval from locally stable and conditionally connected measurements,
Applied and Computational Harmonic Analysis, vol. 55
pp. 440-465 [doi] [abs]
- Recent Grant Support
- RTG: Training Tomorrow's Workforce in Analysis and Applications, National Science Foundation, 2021/07-2026/06.
- NRT-HDR: Harnessing AI for Autonomous Material Design, National Science Foundation, 2020/09-2025/08.
- Innovation of Numerical Methods for High-Dimensional Problems, National Science Foundation, 2020/07-2023/06.
- FET: Small: Efficient Inference Tools for Quantum Systems: Algorithms, Applications, and Analysis, National Science Foundation, 2019/10-2022/09.
- HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms, National Science Foundation, 2019/10-2022/09.
- Quantum Computing in Chemical and Material Sciences, Department of Energy, 2018/09-2022/09.
- EAGER-QAC-QSA: Resource Reduction in Quantum Computational Chemistry Mapping by Optimizing Orbital Basis Sets, National Science Foundation, 2020/09-2022/08.
- Collaborative Research: SI2-SSI: ELSI-Infrastructure for Scalable Electronic Structure Theory, National Science Foundation, 1450280, 2015/06-2022/05.
- Quantum Computing in Chemical and Material Sciences, Department of Energy, 2018/09-2021/09.
- CAREER: Research and training in advanced computational methods for quantum and statistical mechanics, National Science Foundation, DMS-1454939, 2015/09-2020/08.