Gerald Wang
Dr. Wang's 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.
The M5 Lab's research is centered around the use of theory and high-performance computation to address problems in micro- and nanoscale mechanics; their core motivation is to inform and inspire the design of materials and devices for CEE applications, including higher efficiency molecular-scale separation processes, more resilient structural materials, more recyclable polymers, and tunable thermal interfaces. Their tools of choice include statistical physics, molecular mechanics, fluid mechanics, thermodynamics and heat transfer, and a wide range of computational methods for modeling small-scale phenomena, including (in almost all cases) particle simulations and (in appropriate cases) techniques from machine learning. They are also interested in developing efficient simulation methods for simulating micro- and nanoscale phenomena.
Name | Position | |
|---|---|---|
| Ghaffarizadeh, Arman | Graduate Student | |
| Kramer, Kelby | Undergraduate Student | kbkramer@andrew.cmu.edu |
| Li, Yuanhao | Graduate Student | yuanhaol@andrew.cmu.edu |
| Rusali, Ryan | Undergraduate Student | rrusali@andrew.cmu.edu |
| Wang, Shuyuan | Graduate Student | shuyuanw@andrew.cmu.edu |
| Wu, Chunzhi | Graduate Student | tranz@cmu.edu |
Arman Ghaffarizadeh
Graduate Student
5000 Forbes Avenue, Pittsburgh PA, 15213
Affiliation:
Mechanical EngineeringCarnegie Mellon University
Websites:
Affiliation:
Civil and Environmental EngineeringCarnegie Mellon University
Websites:
Affiliation:
Computational MechanicsCarnegie Mellon University
Websites:
Affiliation:
Civil EngineeringCarnegie Mellon University
Websites:
Affiliation:
Civil and Environmental EngineeringCarnegie Mellon University
Websites:
Affiliation:
Computational MechanicsCarnegie Mellon University
Websites:
- "Measurement of τ polarization in W→τν decays with the ATLAS detector in pp collisions at sqrt(s) = 7 TeV." The ATLAS Collaboration, G. Aad, B. Abbott, J. Abdallah, S. Abdel Khalek, G.J. Wang, et al. The European Physical Journal C.
- "Hsp90 inhibition increases p53 expression and destabilizes MYCN and MYC in neuroblastoma." Paul L Regan, Joshua Jacobs, Gerald J Wang, Jaime Torres, Robby Edo, Jennifer Friedmann, Xao X Tang. International Journal of Oncology.
- "Why are fluid densities so low in carbon nanotubes?" Gerald J Wang, Nicolas G Hadjiconstantinou. Physics of Fluids.
- "Molecular mechanics and structure of the fluid-solid interface in simple fluids." Gerald J Wang, Nicolas G Hadjiconstantinou. Physical Review Fluids.
- "Layered Fluid Structure and Anomalous Diffusion under Nanoconfinement." Gerald J Wang, Nicolas G Hadjiconstantinou. Langmuir.
- "Dynamic Tracking and Visualization of Thanks-Giving Flows in the Classroom." Gerald Wang. Bulletin of the American Physical Society.
- "On the Role of Fluid-Solid Interaction Strength in Anomalous Fluid Diffusion under Nanoscale Confinement." Yuanhao Li, Gerald Wang. Bulletin of the American Physical Society.
- "Mo'Mobilities, No Problems: An Excess Entropy Scaling Relation for Diffusivity of an Active Fluid." S Arman Ghaffarizadeh, Gerald Wang. Bulletin of the American Physical Society.
- "Social distancing slows down steady dynamics in pedestrian flows." Kelby B Kramer, Gerald J Wang. Physics of Fluids.
- "Gratitude and Graph Theory in the Time of Coronavirus." Gerald J Wang. 2021 ASEE Virtual Annual Conference Content Access.
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Robert "Bob" Batterman received his B.A. at Cornell University and his M.A. and Ph.D. at the University of Michigan. Prior to his arrival in Pittsburgh, he held the Rotman Canada Research Chair in Philosophy of Science at the University of Western Ontario (2005--2010). Before that he spent 15 years in the Department of Philosophy at Ohio State University. He is a Fellow of the Royal Society of Canada. He is the author of The Devil in the Details: Asymptotic Reasoning in Explanation, Reduction, and Emergence (Oxford, 2002) as well as several other books.
Gary Fedder earned his B.S. and M.S. degrees in Electrical Engineering & Computer Sciences (EECS) from MIT. He worked at the Hewlett-Packard Company before pursuing a Ph.D. degree in EECS, which he received from the University of California at Berkeley. He then joined Carnegie Mellon University with a joint faculty appointment in the Department of Electrical and Computer Engineering and The Robotics Institute. He has won several awards, written 13 patents, served on the editorial board of journals, chaired conferences, and held administrative positions including his current one as Vice Provost for Research at Carnegie Mellon University.
Prof. Rosi earned his B.A. in chemistry from Grinnell College (1999) and his PhD in Chemistry from the University of Michigan (2003). After completing postdoctoral studies at Northwestern University, he began his independent career at the University of Pittsburgh in 2006, where he is now a Professor of Chemistry. His research group focuses on the development of methods for controlling the hierarchical structure of MOFs and methods for directing the assembly of nanoparticles into ordered superstructures.