Prof. Qiang (David) Wang’s Laboratory of Computational Soft Materials1 combine advanced theories and computer simulation techniques to study at nano- to meso-scales (i.e., from sub-nanometers to micrometers) the behavior of nanostructured polymeric materials (e.g., self- and directed assembly of block copolymers, stimuli-response of polymer brushes, polyelectrolyte adsorption and layer-by-layer assembly, and structure and properties of polymer nanocomposites). In Summer 2023, his Lab can host two graduate students working on (I) polymer self-consistent field (SCF) calculations2 and (II) dissipative particle dynamics (DPD) simulations3, respectively, of block copolymer self-assembly4. Both students need to be detail-oriented and have strong interest in computational research. The student working on Project I will use an in-house code improved and extended from PSCF5, and the student working on Project II will use HOOMD-blue6. Basic knowledge in polymer physics7 and in using UNIX/LINUX computers is required, and programming in Python or Matlab is preferred but not required.
Contact: Please contact Prof. Wang at qwang@colostate.edu for more details.
References:
- https://www.engr.colostate.edu/~qwang.
- J. He and Q. Wang, Macromolecules 55, 8931 (2022).
- Y. Feng, et al., Soft Matter 18, 4923 (2022).
- F. S. Bates and G. H. Fredrickson, Phys. Today 52, 32 (1999).
- https://pscf-home.cems.umn.edu/cpp.
- https://glotzerlab.engin.umich.edu/hoomd-blue/.
- Chaps. 1 and 2 in M. Doi, Introduction to Polymer Physics, Clarendon Press, Oxford, 1996.