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…
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…
Automated sorting of high repetition rate coherent diffraction data from XFELS
'Coherent X-rays are routinely provided today by the latest Synchrotron and X-ray Free-electron Laser Sources. When these diffract from a crystal containing defects, interference…
Collaborative Machine learning platform for Scientific Discovery
New advances in scientific applied machine learning (ML) offer an opportunity to leverage the commonalities, scientific insights and collected experience of the larger scientific…
Tackling Solid-State Electrochemical Interfaces from Structure to Function Utilizing HPC and Machine Learning Tools
Applying AI/ML methods to discover better solid state battery interface material using HPC
5G-enabled Reliable and Decentralized IoT Framework with Blockchain
We propose to develop an end-to-end, 5G-enabled, reliable, and decentralized IoT framework that improves data collection and communication among edge computing devices for science…
AI/ML in Particle Accelerator Controls System
Improving the safety and performance of particle accelerator operations through artificial intelligence assisted control systems.
AI/ML to design and optimize materials and their properties
Design and optimize materials and their properties for Quantum Information Science and clean energy using AI/ML
Intelligent Acquisition and Reconstruction for Hyper-Spectral Tomography Systems
We will develop artificial intelligence (AI) and machine learning (ML) algorithms to enable dramatic improvements in the throughput and performance of hyperspectral (i.e., multipl…