Opportunity ID: 345075
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0002905 |
| Funding Opportunity Title: | Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant Other |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 4 |
| Posted Date: | Dec 22, 2022 |
| Last Updated Date: | Feb 15, 2023 |
| Original Closing Date for Applications: | Mar 15, 2023 |
| Current Closing Date for Applications: | Mar 30, 2023 |
| Archive Date: | Apr 14, 2023 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $7,500,000 |
| Award Floor: | $150,000 |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | Office of Science |
| Description: |
The DOE SC program in Fusion Energy Sciences (FES) hereby announces its interest in applications in the areas of Machine Learning (ML), Artificial Intelligence (AI), and Data Resources for fusion energy and plasma sciences. The goal of this FOA is to support multidisciplinary teams aiming to apply advanced and autonomous algorithms to address high-priority research opportunities across the FES program. Applicants are encouraged to propose research in new systems for managing, formatting, curating, and accessing experimental and simulation data, provided in publicly available databases. Of high programmatic importance are approaches that support the realization of a fusion pilot plant on a decadal timescale. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Dr. Matthew Lanctot
Program Manager Phone 301-903-1972 Email:matthew.lanctot@science.doe.gov |
Version History
| Version | Modification Description | Updated Date |
|---|---|---|
| To change the due date of the application submission. | Feb 15, 2023 | |
| To change the due date for the application submission. | Dec 22, 2022 | |
| Dec 22, 2022 |
DISPLAYING: Synopsis 4
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0002905 |
| Funding Opportunity Title: | Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant Other |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 4 |
| Posted Date: | Dec 22, 2022 |
| Last Updated Date: | Feb 15, 2023 |
| Original Closing Date for Applications: | Mar 15, 2023 |
| Current Closing Date for Applications: | Mar 30, 2023 |
| Archive Date: | Apr 14, 2023 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $7,500,000 |
| Award Floor: | $150,000 |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | Office of Science |
| Description: |
The DOE SC program in Fusion Energy Sciences (FES) hereby announces its interest in applications in the areas of Machine Learning (ML), Artificial Intelligence (AI), and Data Resources for fusion energy and plasma sciences. The goal of this FOA is to support multidisciplinary teams aiming to apply advanced and autonomous algorithms to address high-priority research opportunities across the FES program. Applicants are encouraged to propose research in new systems for managing, formatting, curating, and accessing experimental and simulation data, provided in publicly available databases. Of high programmatic importance are approaches that support the realization of a fusion pilot plant on a decadal timescale. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Dr. Matthew Lanctot
Program Manager Phone 301-903-1972 Email:matthew.lanctot@science.doe.gov |
DISPLAYING: Synopsis 3
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0002905 |
| Funding Opportunity Title: | Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant Other |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 3 |
| Posted Date: | Dec 22, 2022 |
| Last Updated Date: | Feb 15, 2023 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Mar 30, 2023 |
| Archive Date: | Apr 14, 2023 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $7,500,000 |
| Award Floor: | $150,000 |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | Office of Science |
| Description: |
The DOE SC program in Fusion Energy Sciences (FES) hereby announces its interest in applications in the areas of Machine Learning (ML), Artificial Intelligence (AI), and Data Resources for fusion energy and plasma sciences. The goal of this FOA is to support multidisciplinary teams aiming to apply advanced and autonomous algorithms to address high-priority research opportunities across the FES program. Applicants are encouraged to propose research in new systems for managing, formatting, curating, and accessing experimental and simulation data, provided in publicly available databases. Of high programmatic importance are approaches that support the realization of a fusion pilot plant on a decadal timescale. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Dr. Matthew Lanctot
Program Manager Phone 301-903-1972 Email:matthew.lanctot@science.doe.gov |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | DE-FOA-0002905 |
| Funding Opportunity Title: | Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant Other |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 81.049 — Office of Science Financial Assistance Program |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 2 |
| Posted Date: | Dec 22, 2022 |
| Last Updated Date: | Dec 22, 2022 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | Mar 15, 2023 |
| Archive Date: | Apr 14, 2023 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $7,500,000 |
| Award Floor: | $150,000 |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | Office of Science |
| Description: |
The DOE SC program in Fusion Energy Sciences (FES) hereby announces its interest in applications in the areas of Machine Learning (ML), Artificial Intelligence (AI), and Data Resources for fusion energy and plasma sciences. The goal of this FOA is to support multidisciplinary teams aiming to apply advanced and autonomous algorithms to address high-priority research opportunities across the FES program. Applicants are encouraged to propose research in new systems for managing, formatting, curating, and accessing experimental and simulation data, provided in publicly available databases. Of high programmatic importance are approaches that support the realization of a fusion pilot plant on a decadal timescale. |
| Link to Additional Information: | – |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Dr. Matthew Lanctot
Program Manager Phone 301-903-1972 Email:matthew.lanctot@science.doe.gov |
Related Documents
Packages
| Agency Contact Information: | Dr. Matthew Lanctot Program Manager Phone 301-903-1972 Email: matthew.lanctot@science.doe.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| 81.049 | PKG00279021 | Dec 22, 2022 | Apr 06, 2023 | View |
Package 1
Mandatory forms
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