This $1,065,000 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) will support collaborative research by the University of Pennsylvania, University of Wisconsin-Madison, and Northeastern University to develop novel quantum materials through deep learning-guided "twistronics". The researchers will use computer-aided deep learning models and theoretical tools to predict and guide the self-assembly of two-dimensional materials with precise control over interlayer twist angles. This will enable the discovery of new quantum materials with targeted chiral, topological, and nonlinear optical properties. The project aims to advance knowledge in quantum materials design, fabrication, and characterization that can enable breakthroughs in quantum electronics, photonics, and information technologies. The award includes interdisciplinary education and outreach initiatives to train students across levels in these emerging quantum materials concepts.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $1.1m | 9/15/23 |