Advanced Peer to Peer Transactive Energy Platform with Predictive Optimization
Applying AI/ML to optimize renewable energy generation and consumption on Smart Grid with block chain technologies
Nanoparticle growth kinetics and mechanism
AI is used to digitalize the nanoparticle from TEM images. Morphology and crystalline feature will be made available through AI. Combining with kinetics modeling, AI detects criti…
Center for Mesoscale Transport Properties
Center for Mesoscale Transport Properties
Develop a Machine Learning Framework for Optimal Computational Campaigns for Complex Uncertain Systems
'Two projects to use machine learning to acclerate the design of optimal strategies and robust computational campaigns for complex systems in the presence of substantial data and…
AI/ML in High Energy Physics Research
Within the high energy physics research in the energy, intensity and cosmic frontiers, as well as the advance detector R&D and scientific computing, AI/ML techniques have been dev…
SMMM
AI/ML is being used to evaluate measurements in real-time during simultaneous experiments on two beamlines and then drive subsequent data collection on both of the beamlines to ma…
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…
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…
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…
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
KBase: An Integrated Knowledgebase for Predictive Biology and Environmental Research
Building knowledgebase for systems biology and enabling the predictive analysis using web interface
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…
Accelerating HEP Science: Inference and Machine Learning at Extreme Scales
Developing Galaxy Image deblending with the gravitational lensing effects and scaling AI/ML algorithms
Continuous Structure Descriptors for XANES Interpretation
Seeking a continuous local structure motif that correlates to X-ray spectral signatures
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…