This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award to Parallel Pipes, LLC for $274,970 will support the development of a Generative Bayesian Physics-Informed Classifier (B-PIC) network. The objective is to create an AI-powered simulation tool that can democratize and enhance physics-based modeling for product engineering applications. By integrating physics-informed strategies into the network's architecture, the project aims to minimize the need for specialized expertise and promote efficient, accurate simulations. The anticipated outcomes include transforming physics simulations from a validation tool to a crucial driver in the product development process, leading to faster time-to-market, lower costs, and higher-performing products across various industries. This one-year project, commencing on September 1, 2024, will showcase the B-PIC network's ability to reduce simulation time and expense, potentially fostering broader scientific and technological advancements by integrating generative AI into physical sciences.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $275.0k | 8/29/24 |