Gerald J. Wang

Assistant Professor, Civil and Environmental Engineering

Bio

Jerry Wang joined Civil and Environmental Engineering at Carnegie Mellon University as an Assistant Professor in Fall 2019. He received his BS in 2013 from Yale University (Mechanical Engineering, Mathematics & Physics), SM in 2015 from MIT (Mechanical Engineering), and PhD in 2019 from MIT (Mechanical Engineering and Computation), working with Professor Nicolas G. Hadjiconstantinou. He performed postdoctoral research at MIT in Chemical Engineering, working with Professor James W. Swan.

His research interests involve using mechanics, statistical physics, and high-performance computing to understand nanoscale structural and transport phenomena, with the goal of developing very small solutions for very big problems in the water-energy nexus.

During his PhD, Wang held the Department of Energy Computational Science Graduate Fellowship and the Tau Beta Pi Graduate Fellowship.

Education

• PhD - Mechanical Engineering and Computation, Massachusetts Institute of Technology, 2019
• SM - Mechanical Engineering, Massachusetts Institute of Technology, 2015
• BS - Mechanical Engineering, Mathematics & Physics, Yale University, 2013

Research

Research Group: MCM

Areas of Interest:

• Nanoscale mechanics of fluids, soft matter, and active matter
• Molecular simulation and statistical physics (both in and out of equilibrium)
• Sustainable food, energy, and water
• Pedestrian mobility and dynamics in urban environments
• Multi-scale methods development and high-performance computing
• Computational science and engineering education

Publications

Representative Publications

• S. A. Ghaffarizadeh and G. J. Wang (2023) Getting over the hump with KAMEL-LOBE: Kernel-averaging method to eliminate length-of-bin effects in radial distribution functions, Journal of Chemical Physics, Vol. 158, Iss. 22, 224112.
• S. Saha, A. Acharya, and G. J. Wang (2023) TADA: The Topology-Accommodating Direction Assignment Algorithm for Liquid Crystals, Journal of Chemical Theory and Computation, Vol. 19, Iss. 1, 324-332.
• Y. Li and G. J. Wang (2022) How to produce confidence intervals instead of confidence tricks: Representative sampling for molecular simulations of fluid self-diffusion under nanoscale confinement, Journal of Chemical Physics, Vol. 156, Iss. 11, 114113.
• S. A. Ghaffarizadeh and G. J. Wang (2022) Excess Entropy Scaling in Active-Matter Systems, Journal of Physical Chemistry Letters, Vol. 13, Iss. 22, 4949-4954.
• G. J. Wang (2022) To Do Good, Learn Well: Engineering a Virtuous Cycle between Technical Rigor and Diverse, Equitable, and Inclusive Teaching Practice, Proceedings of the American Society for Engineering Education.
• K. B. Kramer and G. J. Wang (2021) Social distancing slows down steady dynamics in pedestrian flows, Physics of Fluids, Vol. 33, Iss. 10, 103318.

Courses

• 12-216 Research Skills in CEE
• 12-271 Computation and Data Science for Civil & Environmental Engineering
• 12-623 Molecular Simulation of Materials
• 12-792 Advanced Independent Study (in areas including advanced scientific computing and fluid dynamics)