A Digital Twin for In-silico Spatiotemporally-resolved Experiments
A Digital Twin for In-silico Spatiotemporally-resolved Experiments
Machine learning for accelerated understanding of dynamic catalysis
The understanding of catalytic reactions has been a long-standing challenge due to the complexity and wide range of time scales involved in their mechanisms. There remain signific…
Safeguards Digital Twin
This deals with international safeguars approaches.
Use AI/ML ML to Optimize Data and Experiments at National Synchrotron Light Source II (NSLS-II) and the Accelerator Test Facility (ATF)
Three projects: use ML for denoising in scientific images; use ML to mine large quantities of data for automated evaluation of data quality and predictive analysis; develop AI/ML…
Data-Science Enabled, Robust and Rapid MeV Ultrafast Electron Diffraction System to Characterize Materials Including for Quantum and Energy Applications
Data-Science Enabled, Robust and apid MeV Ultrafast Electron Diffraction System to Characterize Materials Including for Quantum and Energy Applications
Use ML as part of an integrated strategy for forecasting renewable energy resources
This is an inderdisciplinary project aiming to develop a novel system that transforms the forecasting of renewal energy resources by seamlessly integrating a numerical weather pre…
Development of a Planning, Operation, and Control Framework for Hybrid Energy Storage and Renewable Generation Systems
One project: will develop the initial framework for planning, operation, and control of these 'hybrid' energy systems containing high penetrations of renewables together with ener…
Accelerated Nanomaterial Discovery
Historically the discovery and development of new materials has followed an iterative process of synthesis, measurement, and modeling, suitable integration of advanced characteriz…
Google Agentspace / NotebookLM
Unify enterprise data and enable large-scale agent deployment with Google Agentspace.
Use AI/ML for Climate Prediction
Two projects: leverage AI/ML tools to synthesize uncertainty quantification-targeted, complex, multi-scale, multi-domain observations into high-resolution processmodels to charact…
EDX-ClaiMM
Address fundamental knowledge gaps and foster the innovation of new techniques for enhanced characterization and recovery of critical minerals and materials (CMMs) within the US.
Machine Learning for Linac Improved Performance
In Linacs at FNAL and J-PARC, the current emittance optimization procedure is limited to manual adjustments of a few parameters; using a larger number is not practically feasible…
Storage usage effectiveness and data placement optimization at Data Center
The goal of this project is to take data management for data centers to the next level by implementing Artificial Intelligence (AI) and Machine Learning (ML) to create a precise d…
Objective-Driven Data Reduction for Scientific Workflows
This project aims to develop theories and algorithms for objective-driven reduction of scientific data in workflows that are composed of various models, including data-driven AI m…
Autonomous, real-time guiding of BCP film synthesis
Adaptive synthesis and manufacturing processes will be realized by combining AI/ML methods for autonomous on-the-fly control of the deposition and processing of self-assembling po…
Low Dose Radiation Biology
Predicting the effects of low dose radiation
Claude Anthropic Enterprise
Deliver secure enterprise AI with Claude's large-context models and code generation.
KBase: An Integrated Knowledgebase for Predictive Biology and Environmental Research
Building knowledgebase for systems biology and enabling the predictive analysis using web interface
Next-Generation Beam Cooling and Control with Optical Stochastic Cooling
This program leverages the physics and technology of optical stochastic cooling (OSC) to explore new possibilities in beam control and sensing. The planned architecture and perfo…
AGN-201 DT
Aid safeguards analysts for determining if a reactor is being used in a non-declared way.
lntegrated Platform for Multimodal Data Capture, Exploration and Discovery Driven by Al Tools
This project will enable and accelerate scientific discovery by leveraging large complex multimodal datasets generated at BES user facilities, develop shared transferrable infrast…
In-storage computing for multi-messenger astronomy in neutrino experiments and cosmological surveys
This project aims to address the big-data challenges and stringent time constraints facing multi-messenger astronomy (MMA) in neutrino experiments and cosomological surveys. Inste…
Facilities Visual Inspection
Detect hazards and assess facility conditions through AI-enhanced visual inspections.
high level synthesis for machine learning (previously hls4ml)
This project develops hardware-software AI codesign tools for FPGAs and ASICs for algorithms running at the extreme edge.