The main goal of the Huang Lab is to understand and manipulate biomolecular dynamics by developing and applying novel statistical mechanics-based methods that can bridge the gap between experiments and simulations.
Theoretical/Computational
Schmidt Group
The Schmidt Group applies computational approaches to study complex materials, often with direct applications to problems of relevance to energy and fuels.
Yang Group
The Yang Group conducts cutting-edge research in theoretical and computational chemistry, with two main areas of focus: (1) the development of advanced theoretical methods for multicomponent quantum chemistry calculations, and (2) the application of these methods to complex chemical, biological, and materials systems.
Yethiraj Group
The Yethiraj Group research focuses on theoretical studies of soft condensed matter.
Otten Group (Affiliate)
The Otten Lab’s goal is to accelerate the realization of useful, utility-scale quantum computers, networks, and sensors. We develop, analyze, and test quantum algorithms for applications in quantum chemistry, quantum dynamics, and quantum machine learning.
Ping Group (Affiliate)
The Ping Group’s research focuses on developing theoretical and computational methods, such as many-body perturbation theory and first-principles open quantum dynamics based on density-matrix formalism, to understand and predict materials’ properties, including optoelectronic, excitonic, and …
Van Lehn Group (Affiliate)
The Van Lehn Group uses molecular simulations and data-centric methods to characterize, predict, and engineer the behavior of synthetic and biological soft materials for applications relevant to human health, sustainability, and energy.