Offshore AIIM Dashboard
Evaluate the integrity of offshore energy infrastructure (e.g., pipelines, platforms) in the U.S Gulf Region.
Enhancing the circularity: Cost effective battery de-energization, disassembly, and pre-processing (CEBDDP)
Predict state of health and state of function of spent batteries
Consolidated Nuclear Waste Glass Database
Incorporation of several physics-driven machine learning models to predict the properties of nuclear waste glass compositions – in addition, bootstrap other glass computational sc…
Georeference Figures
AI-powered georeferencing will improve automation, speed, and efficiency. Manual georeferencing is expensive.
Groundwater Modeling
Solves critical challenges in water modeling by providing forward-looking monitoring.
MOOSE-LLM
Tools like MOOSE for multiphysics modeling have a steep learning curve. They demand considerable domain-specific knowledge, which makes it hard for newcomers to get started.
Scripting
AI-powered scripting will improve automation, speed, and efficiency.
Smart CO2 Transport-Route Planning Tool
Identify potential routes or evaluate existing corridors for carbon transport based on current legislation, best construction practices, and more.
PermitAI
Streamline permitting processes with AI-powered environmental review tools.
AI Safety Tool
Mitigate workplace ncidents
Performance Monitoring at the Salt Waste Processing Facility (SWPF)
With data from SWPF instrumentation, train neural networks to consider process parameters and chemical speciation data from incoming salt batches to predict filtration rate perfor…
Advanced Long Term Environmental Monitoring Systems (ALTEMIS)
Reduce the cost of long-term monitoring using integrated sensing technologies and AI/ML to forecast groundwater plume migration and anomalies.
Expanding Consumer Participation in Consumer Electronics Recycling Programs Utilizing Targeted Marketing Campaigns
Identify laws and regulations related to e-waste
Identifying Controlling Variables for Mercury Vapor Release at Y-12's Alpha-4
Correlate indoor/outdoor meteorological conditions with mercury vapor releases such that PEL exceedances can be forecasted, improving respiratory worker safety and enhancing work…
To drive insights on the power system reliability, cost, and operations during the energy transition with and without FECM technologies
To drive insights on the power system reliability, cost, and operations during the energy transition with and without FECM technologies
To drive insights on the dependencies between the natural gas and electricity sectors to increase reliability of the NG system
To drive insights on the dependencies between the natural gas and electricity sectors to increase reliability of the NG system
Data platform to expedite access and reuse of carbon ore data for materials, manufacturing and research
Data platform to expedite access and reuse of carbon ore data for materials, manufacturing and research
AI for Offshore Energy: Innovative Technology Streamlines Marine Wildlife Surveys [2024 INV#DOI-66]
Offshore energy development requires environmental assessments; using AI technology to conduct offshore migratory bird counts can efficiently provide such data, however, substanti…
Mineral Resource Assessments
Mineral resource assessments require a significant amount of data evaluation and processing.
Lithium Potential Assessments
Identifying sources of lithium is critical to our Nations economic prosperity and security.
Geothermal Energy Assessments
Executive Order 14156 – Declaring a National Energy Emergency, directs federal agencies to identify and develop our Nations energy resources.
Improved Processing and Analysis of Test and Operating Data from Rotating Machines [2024 INV#DOI-62]
This research strives to aid in the development of condition-based maintenance (CBM) and predictive maintenance (PdM) tools for Hydroelectric Facilities (Generators and Pumps) by…
Machine Learning for Chemical Savings at Reverse Osmosis Plants [2024 INV#DOI-73 (NEW)]
Water treatment processes are often complex and maintenance activities present tradeoffs between cost and system performance.
Machine Learning Applied to Geotechnical Engineering: Statistical Methods Applied to Seismic Analysis [2024 INV#DOI-71 (NEW)]
The process for determining the seismic risk for dams is time intensive.