Qiang (David) Wang
Professor in Department of Chemical and Biological Engineering

Positions Available

Currently there are openings for Ph. D. candidates in my group. Strong interest in computational research and/or computer programming is required. Students who are interested in pursuing a Ph. D. in my group should send me a cover letter, Curriculum Vitae, a list of publications, and names and contact information (e-mail and phone) of at least two references. Suitable candidates are strongly encouraged to apply directly to our department.

Contact Information

Mailing Address: Office:   350 Scott Engineering
1370 Campus Delivery Phone:   (970) 491-2763
Colorado State University Fax:       (970) 491-7369
Fort Collins, CO 80523-1370 E-mail:  q.wang@colostate.edu


B. E. 1993 Tsinghua University, P. R. China
Ph. D. 2002 University of Wisconsin Madison
Advisors: Prof. Juan de Pablo and Prof. Paul Nealey
Postdoc 11/02 7/04 University of California Santa Barbara
Advisor: Prof. Glenn Fredrickson

Selected Honors and Awards

Research Interests

Soft Materials, Block Copolymers, Polymer Brushes, Polyelectrolytes, Polymer Blends, Nanocomposites;
Coarse Graining, Fluctuation/Correlation Effects, Self- and Directed Assembly, Surface and Interface Phenomena, Structure-Property Relations;
Molecular Simulations, Field Theories, Integral-Equation Theories, Density-Functional Theories, Mesoscopic Simulations, Statistical Mechanics.

I am interested in combining 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. My group uses a suite of computational tools to investigate the thermodynamic and dynamic behavior of these systems and to establish the interconnections between these results at different levels, thus enabling hierarchical modeling bridging various time and length scales. I am also interested in collaborating with experimentalists to provide insights into experimental results, to validate simulation and theoretical results, and to further help experimental design.