AI use-case explorer
AI use cases
Search and filter every reported use case. Open a record for the agency's full description, governance answers and source provenance.
Columns (7)
| Use case | Agency | Stage | High-impact | Topic area | AI classification | Sourcing |
|---|---|---|---|---|---|---|
| Machine Learning for geophysical data inversion DOE-195 · NETL - National Energy Technology Laboratory (FECM) | DOE | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Elucidating Genetic and Environmental Risk Factors for Antipsychotic-induced Metabolic Adverse Effects Using AI DOE-351 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Health and Medical | Classical / predictive ML | Developed in-house |
| Physics-Informed Learning Machines for Multiscale and Multiphysics Problems (PhILMs) DOE-356 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Regional waste feedstock conversion to biofuels DOE-358 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| OPQ-AI DOE-477 · ANL - Argonne National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Cognitive Prescreen Tool (CPT) DOE-59 · Y-12 - Consolidated Nuclear Security Y-12 (YFO) | DOE | Deployed | Not high-impact | Information Technology | Classical / predictive ML | Developed in-house |
| Invoice Scanning System DOE-632 · RL - Hanford - Richland Operations Office - Hanford (EM) | DOE | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| high level synthesis for machine learning (previously hls4ml) DOE-64 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| pComply-AI-High Risk DOE-658 · ANL - Argonne National Laboratory (SC43 OIM) | DOE | Deployed | Not high-impact | Procurement and Financial Management | Classical / predictive ML | Developed in-house |
| READS: Real-time Edge AI for Distributed Systems DOE-70 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Deployed | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| MI8 Collimators Surogate Model DOE-453 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine Learning for Linac Improved Performance DOE-60 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| In-pixel AI for future tracking detectors DOE-66 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| SONIC: AI acceleration as a service DOE-67 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Advanced Long Term Environmental Monitoring Systems (ALTEMIS) DOE-714 · SRS - SRNL - Savannah River Site - Savannah River National L | DOE | Pilot | High-impact | Energy and the Environment | Classical / predictive ML | Developed in-house |
| Denoising Diffusion to Accelerate Detector Simulation DOE-716 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Machine Learning for Accelerator Operations Using Big Data Analytics / L-CAPE DOE-73 · FNAL - Fermi National Accelerator (SC43 OIM) | DOE | Pilot | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Managing curb allocation in cities DOE-357 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Transportation | Classical / predictive ML | Developed in-house |
| Surrogate models for probabilistic Bayesian inference DOE-361 · PNNL - Pacific Northwest National Laboratory (SC43 OIM) | DOE | Pre-deployment | Not high-impact | Science | Classical / predictive ML | Developed in-house |
| Crickets DOE-723 · SRS - ESB - Savannah River Site - Enterprise System Boundary | DOE | Pre-deployment | Not high-impact | Cybersecurity | Classical / predictive ML | Developed in-house |
| Report Assistant DOE-610 · SRS - ESB - Savannah River Site - Enterprise System Boundary | DOE | Pre-deployment | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
| Machine Learning to support Operational Efficiency DOE-726 · SRS - ESB - Savannah River Site - Enterprise System Boundary | DOE | Pre-deployment | Not high-impact | Administrative Functions | Classical / predictive ML | Developed in-house |
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