This National Science Foundation (NSF) Integrative Activities (CFDA 47.083) Project Grant award of $256,892 to the University of Alabama at Birmingham (UAB) aims to develop new computational methods to simulate the fundamental behaviors and dynamics of electrons at the quantum level by incorporating machine learning techniques. The project, led by an assistant professor at UAB, involves collaborating with an expert at the University of Texas at Austin to create a machine-learning-based, multifunctional computational method capable of simulating quantum effects in large-scale systems. The research will investigate scientifically important systems such as twisted 2D materials and 2D heterostructures, leveraging density functional theory, Wannier functions, and deep learning. This award seeks to broaden the research scope of the principal investigator, initiate cross-institutional collaborations, and develop open-source software packages to benefit the theoretical condensed matter physics community. The project period runs from February 1, 2025, to January 31, 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $256.9k | 9/10/24 |