AI-Assisted Strategies and Solutions for Environmental Technology (AI-ASSET)
Enable rapid technology transfer of the ALTEMIS AI approaches to new sites and new systems through an automated data analysis and knowledge management toolkit
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…
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.
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…