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.
Accelerating HEP Science: Inference and Machine Learning at Extreme Scales
Developing Galaxy Image deblending with the gravitational lensing effects and scaling AI/ML algorithms
Microsoft Discovery
Speed up transparent, governed R&D discovery with AI agents and graph knowledge engines.
Streamining intelligent detectors for sPHENIX/EIC
his project develops real-time algorithms for event filtering with tracking detectors for nuclear physics collider experiments.
Critical Materials
AI will make discoveries of unknown combinations of rare earth elements and ligands used in critical materials that are currently impossible to separate
Continuous Structure Descriptors for XANES Interpretation
Seeking a continuous local structure motif that correlates to X-ray spectral signatures
In-pixel AI for future tracking detectors
This project explores novel AI-on-chip technology for intelligent detectors embedded with sensing technology
Instrument Documentation Search
Provide quick answers about instrument operations by searching ingested manuals.
Machine Learning for Autonomous Control of Scientific User Facilities
BNL will work alongside SLAC, to implement ML algorithm(s) into NSLS-II Operations to interpret accelerator data more intelligently. We intend to train said algorithms with 5+ ye…
Towards Edge Computing: A Software and Hardware Co-Design Methodology for Application-Specific Integrated Circuit (ASIC)-based Scientific Neuromorphic Computing (NC)
One project: Current deep neural network (DNN)-based Artificial Intelligence (AI) algorithms have already been successfully applied to particle physics applications. This project…
AI/ML for Applications in High Energy adn Nuclear Physics
Develop state-of-the-art cycle-consistent GANs to bridge the gap between simulations and experimental data; develop real-time particle tracking with deep learning on field program…
SONIC: AI acceleration as a service
This project focuses on integration of AI hardware for at-scale inference acceleration for particle physics experiments.
RAPIDS3: A SciDAC Institute for Computer Science, Data, and Artificial Intelligence
A SciDAC computer science institute and BNL is co-leading AI team
Use AI/ML to Enhance the Bioimaging Capabilities at Brookhaven National Laboratory (BNL)
Three projects: use expertise in ML as one element in building an integrated multiscale bioimaging capability at BNL; use AI/ML tools use to accelerate the analysis of protein str…