by U-M MICDE | Mar 5, 2024
Dr. Lindsey develops new artificial intelligence-driven simulation methods to accelerate the design, discovery, and synthesis of next-generation materials. She leads the development of ChIMES, a physics-informed machine-learned interatomic model and generation...
by U-M MICDE | Feb 9, 2024
My recent research project is focusing on finite element analysis of thermo-mechanical behavior of a multi-layer laser additive manufacturing process. Also, I am characterizing the mechanical properties of 3D printing metal parts under various process parameters such...
by Zoe Myatt | Nov 28, 2023
I am a theoretical astrophysicist studying the origins and structure of galaxies in the universe. My research focuses on developing more realistic gasdynamics simulations, starting with the initial conditions that are well constrained by observations, and advancing...
by U-M MICDE | Sep 30, 2023
Quantum many-body theory and algorithms for strongly correlated systems.
by U-M MICDE | Sep 27, 2023
Weaving enables us to create complex geometries with unique properties. Basketweaving, for example, can achieve stiff three-dimensional shapes by combining flexible fibers. I am developing computational models that can simulate woven geometries to understand how...
by U-M MICDE | Sep 26, 2023
Effects of the Ike Dike (Houston/Galveston coastal spine and storm surge barrier) and its reliability on hurricane storm surge risk, damage, and property values under present and future climate scenarios
by U-M MICDE | Sep 26, 2023
Combining Computational Fluid Dynamics (CFD) and Discrete Element Modeling (DEM) softwares to simulate forest-fire like phenomena. I love reading and watching farfetched science fictions!
by U-M MICDE | Sep 26, 2023
I use first-principles tools to investigate the electronic, excitonic, and optical properties in some intriguing materials such as semiconductors to make connections and give guidance to the relevant experiments.
by U-M MICDE | Sep 26, 2023
My research involves developing new computational tools and techniques and applying them to quantum chemically simulate realistic chemical systems. Currently a third year Ph.D. candidate in the Chemistry Department.
by U-M MICDE | Sep 5, 2023
Prof. Venkat’s research is focusing on multi-scale differentiable computational simulations of electrochemical systems, machine learning guided optimization of energy materials, scientific foundation models and differentiable physical simulations.
