Michael Rubinstein, Professor of Mechanical Engineering and Materials Science and Biomedical Engineering and Chemistry and Physics  

Michael Rubinstein

Office Location: 3377 Fciemas Building, Box 90300, Durham, NC 27708
Office Phone: (919) 660-5365
Email Address: michael.rubinstein@duke.edu

Education:
Ph.D.,  Harvard University, 1983

Recent Publications   (More Publications)

  1. Button, B; Goodell, HP; Atieh, E; Chen, Y-C; Williams, R; Shenoy, S; Lackey, E; Shenkute, NT; Cai, L-H; Dennis, RG; Boucher, RC; Rubinstein, M, Roles of mucus adhesion and cohesion in cough clearance., Proceedings of the National Academy of Sciences of the United States of America, vol. 115 no. 49 (December, 2018), pp. 12501-12506 [doi]  [abs].
  2. Rubinstein, M; Liao, Q; Panyukov, S, Structure of Liquid Coacervates formed by Oppositely Charged Polyelectrolytes., Macromolecules, vol. 51 no. 23 (December, 2018), pp. 9572-9588 [doi]  [abs].
  3. Ge, T; Grest, GS; Rubinstein, M, Nanorheology of Entangled Polymer Melts., Physical Review Letters, vol. 120 no. 5 (February, 2018), pp. 057801, American Physical Society (APS) [doi]  [abs].
  4. Zhou, J; Wang, Y; Menard, LD; Panyukov, S; Rubinstein, M; Ramsey, JM, Enhanced nanochannel translocation and localization of genomic DNA molecules using three-dimensional nanofunnels, Nature Communications, vol. 8 no. 1 (December, 2017), Springer Nature [doi] .
  5. Peters, BL; Pike, DQ; Rubinstein, M; Grest, GS, Polymers at Liquid/Vapor Interface, Acs Macro Letters, vol. 6 no. 11 (November, 2017), pp. 1191-1195, American Chemical Society (ACS) [doi] .

Highlight:

The research of the Rubinstein group is in the field of polymer theory and computer simulations. The unique properties of polymeric systems are due to the size, topology and interactions of the molecules they are made of. Our goal is to understand the properties of various polymeric systems and to design new systems with even more interesting and useful properties.

Our approach is based upon building and solving simple molecular models of different polymeric systems. The models we develop are simple enough to be solved either analytically or numerically, but contain the main features leading to unique properties of real polymers. Computer simulations of our models serve as an important bridge between analytical calculations and experiments.