This $440,000 federal Project Grant award, provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research at Northeastern University on "deep learning guided twistronics for self-assembled quantum optoelectronics". The key objectives are to use computer-aided deep learning models and theoretical tools to predict and guide the synthesis of novel "twistronic" materials composed of stacked two-dimensional (2D) layers with controlled twist angles. This approach aims to enable the design and fabrication of 2D quantum materials with unprecedented properties for applications in electronics, photonics, and quantum information technologies. The research team will perform materials characterization, device measurements, and feedback the results to the theoretical models to establish an integrated workflow for discovering new designer twistronic materials. The project will also integrate educational and outreach activities to train students across levels on quantum materials and photonics. No sub-awards are planned under this grant, which has an ultimate completion date of September 30, 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $440.0k | 9/15/23 |