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

Michael Rubinstein

Office Location: Hudson Hall, Rm. 144, Box 90300, Durham, NC 27708
Office Phone: (919) 660-5365
Email Address: michael.rubinstein@duke.edu

Education:
Ph.D.,  Harvard University, 1983

Teaching (Spring 2020):

  • Physics 590.01, Topics in theoretical physics Synopsis
    Fitzpatrk 1411, TuTh 01:25 PM-02:40 PM

Recent Publications   (More Publications)

  1. Q. Huang, J. Ahn, D. Parisi, T. Chang, O. Hassager, S. Panyukov, Michael Rubinstein, and D. Vlassopoulos, Unexpected Stretching of Entangled Ring Macromolecules”, Physical Review Letters 122, no. 20 (May, 2019) [PhysRevLett.122.208001] .
  2. Huang, Q; Ahn, J; Parisi, D; Chang, T; Hassager, O; Panyukov, S; Rubinstein, M; Vlassopoulos, D, Unexpected Stretching of Entangled Ring Macromolecules., Physical Review Letters, vol. 122 no. 20 (May, 2019), pp. 208001 [doi]  [abs].
  3. Wang, S; Panyukov, S; Rubinstein, M; Craig, SL, Quantitative Adjustment to the Molecular Energy Parameter in the Lake-Thomas Theory of Polymer Fracture Energy, Macromolecules, vol. 52 no. 7 (April, 2019), pp. 2772-2777 [doi]  [abs].
  4. Galati, E; Tao, H; Tebbe, M; Ansari, R; Rubinstein, M; Zhulina, EB; Kumacheva, E, Helicoidal Patterning of Nanorods with Polymer Ligands., Angewandte Chemie International Edition, vol. 58 no. 10 (March, 2019), pp. 3123-3127 [doi]  [abs].
  5. Ge, T; Rubinstein, M, Mobility of Polymer-Tethered Nanoparticles in Unentangled Polymer Melts., Macromolecules, vol. 52 no. 4 (February, 2019), pp. 1536-1545 [doi]  [abs].

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.