Grant Title: |
Scientific Machine Learning for Complex Systems Grant |
Due: |
04/12/2023 |
Amount Per Grant: |
$1,200,000 |
Eligibility: |
education, municipality, business, tribal entities |
Funding Purpose: |
To explore approaches in the use of scientific machine learning (SciML) and artificial intelligence (AI) in the predictive modeling, simulation and analysis of complex systems/processes. |
Funder: |
Department of Energy - Office of Science |
Grant Type: |
Federal |
Total Funding: |
$16,000,000 |
Number Of Awards: |
Unspecified |
Link To RFP: |
Go To RFP Link |
Other Eligibility Requirements: |
Unspecified |
Funder Match Requirements: |
Unspecified |
CFDA#/ID#: |
81.049 -- Office of Science Financial Assistance Program |
Letter of Intent |
Not Required |
Letter of Intent Deadline |
Not Applicable |
Additional Application Deadlines: |
None |
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