1 row is stored for this page
| Field | Field type | Value |
|---|
| ProgramName | Page | Science-informed Machine Learning for Subsurface Applications |
| ProgramType | Page | Program |
| OrgSponsor | Page | Office of Fossil Energy and Carbon Management |
| TopOrganization | Page | Department of Energy |
| CreationLegislation | Page | None |
| Purpose | Wikitext string | SMART, run by devs via AI & ML tools, enhances real-time decisions for subsurface energy like carbon storage & geothermal, integrating physics-based models with data-driven methods to boost forecasting, monitoring, & management.
|
| Website | URL | https://edx.netl.doe.gov/smart/ |
| ProgramStart | String | 2020 |
| InitialFunding | String | $10 million |
| Duration | String | Ongoing |
| Historic | Boolean | No |
