The National Science Foundation (NSF) awarded a $1,200,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to The Leland Stanford Junior University (Stanford University) to expand the Bearable Large Accessible Scientific Training Network (BLASTNET) into a self-sustaining open-source ecosystem (OSE). The goal is to integrate decentralized scientific machine learning with flow physics, which is essential for advancing applications in climate, energy, and biomedical domains. The project aims to (i) grow the BLASTNET community, (ii) continuously improve the diversity of datasets, code, and models, and (iii) maintain automation capabilities to enable the sharing of high-fidelity flow physics datasets and open-source machine learning models and methods. As a sub-award, the University of Chicago will support the project by expanding flow physics datasets, automating data processing, and organizing community events to promote the BLASTNET OSE. The award period is from October 1, 2024 to September 30, 2026.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $1.2m | 7/11/24 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
63511346315190S | University Of Chicago | Project Grant 2345740 | $150.0k | 10/28/24 |