The National Science Foundation (NSF) awarded Arizona State University a 5-year, $196,726 CAREER Program grant under the Computer and Information Science and Engineering (CISE) grant program (CFDA 47.070) to support a research and education program focused on accelerating scientific discovery through physics-informed deep learning models. The project aims to develop physically-consistent dynamics models, deep learning-based symbolic regression algorithms, and multimodal deep learning frameworks to enhance the interpretability, generalizability, and efficiency of data-driven scientific discovery in complex physical processes. The expected outcomes will also contribute to advancing machine learning research through physics-inspired models for downstream data science tasks. Additionally, the project will provide research opportunities for students, prioritizing recruitment from underrepresented groups, and develop an interdisciplinary course to educate researchers, students, and the broader community on the project's findings.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $196.7k | 4/17/24 |