Machine-learning based prediction of thermal limits for conjugated organic materials
Ended Project Grant Awarded Last action
- Award ID
- DESC0021579
- Recipient
-
Nonlinear Materials Corp UEI L1QMAKC2AC75
- Awarding agency
-
Office of Science
Department of Energy
- Obligated
- $230,000
Award facts
- Assistance listing
- 81.049 Office of Science Financial Assistance Program
- Completion date
- Originally
- Place of performance
- Seattle, WA 98109, USA
Award details come from USAspending.gov.
About this award
Nonlinear Materials Corporation received a $230,000 project grant award from the Department of Energy Office of Science under the Office of Science Financial Assistance Program (CFDA 81.049) to support research on machine-learning based prediction of thermal limits for conjugated organic materials. The award, issued on February 22, 2021 with a completion date of August 19, 2022, will fund the development of machine learning models and algorithms to predict thermal and power limits of organic materials used in electronic devices. By advancing computational techniques for organic material design, this research supports the Office of Science's mission to transform understanding of nature and energy technologies through basic scientific research.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Amendment | $0 | |
| Original award | $230,000 |
Quick answers
Who received award DESC0021579?
DESC0021579 was awarded to Nonlinear Materials Corp by Office of Science (Department of Energy) on February 22, 2021.
How much is award DESC0021579 worth?
$230,000 has been obligated on DESC0021579.
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