This National Science Foundation (NSF) Chemical Theory, Models and Computational Methods Program project grant, awarded to the University of California, Berkeley, provides $598,414 to develop advanced neural network-based atomistic models to predict the optical properties of chiral semiconductor nanocrystals. Led by Dr. Eran Rabani, the research aims to overcome challenges in understanding and predicting the chiroptical properties of these nanomaterials, which are essential components in next-generation technologies such as filters, sensors, and displays. The project will create computational tools to model how chiral nanocrystals interact with light, considering factors like ligand orientation, ordering, and thermal fluctuations. The research is expected to yield breakthroughs in the design of tailored optical materials and provide training opportunities for students in theoretical and computational chemistry, nanoscience, and nanotechnology. No sub-awards are planned under this grant, which runs from May 1, 2025 to April 30, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $598.4k | 3/27/25 |