Artificial Intelligence (AI)
Image courtesy of Oak Ridge Leadership Computing Facility
Researchers used supercomputing and deep learning tools to predict protein structure, which has eluded experimental methods such as crystallography.
Advanced Scientific Computing Research (ASCR) supports research in many Artificial Intelligence (AI) areas, including: scientific machine learning (SciML) for complex systems; generative AI, large language models (LLMs), and foundation models; interpretable and explainable AI; privacy-preserving AI and federated learning; AI for visualization; and co-designed hardware and neuromorphic computing to accelerate scientific discovery.
These investments have the potential to transform science and energy research by harnessing DOE investments in massive data from scientific user facilities, software for predictive models and algorithms, high-performance computing platforms, and the national workforce.
ASCR has held several workshops on AI. Some of the priority research directions include:
- Domain-Aware Scientific Machine Learning
- Interpretable Scientific Machine Learning.
- Robust Scientific Machine Learning
- Data-Intensive Scientific Machine Learning.
- Machine Learning-Enhanced Modeling and Simulation
- Intelligent Automation and Decision Support.
By supporting such research directions, ASCR hopes to make advances that accelerate scientific discovery.
ASCR Funding
- FY2024: EXPRESS: 2024 Exploratory Research for Extreme-Scale Science: Neuromorphic Computing (Topic C): Funding Opportunity
- FY2023: Scientific Machine Learning for Complex Systems: Press Release, Award List, Funding Opportunity
- FY2022: Randomized Algorithms for Combinatorial Scientific Computing: Press Release, Award List, Funding Opportunity
- FY2022: EXPRESS: Federated Scientific Machine Learning (Topic A) and Explainable Artificial Intelligence (Topic C): Press Release, Award List, Funding Opportunity
- FY2021: Bridge2AI and Privacy Preserving Artificial Intelligence Research: Press Release, Award List, Lab Funding Opportunity
- FY2021: EXPRESS: Randomized Algorithms for Extreme-Scale Science: Press Release, Award List, Funding Opportunity
- FY2021: Data-Intensive Scientific Machine Learning and Analysis: Press Release, Award List, Funding Opportunity
- FY2020: Neuromorphic Computing for Accelerating Scientific Discovery: Press Release, Award List, Funding Opportunity
- FY2020: Artificial Intelligence and Decision Support for Complex Systems: Press Release, Award List, Funding Opportunity, Lab Funding Opportunity
- FY2020: Scientific Machine Learning for Modeling and Simulations: Press Release, Award List, Funding Opportunity, Lab Funding Opportunity
- FY2020: FAIR Data and Models for Artificial Intelligence and Machine Learning: Press Release, Award List, Funding Opportunity, Lab Funding Opportunity
- FY2020: Scientific Discovery through Advanced Computing: Scientific Machine Learning and Artificial Intelligence for Fusion Energy Sciences: Press Release, Award List, Funding Opportunity, Lab Funding Opportunity
- FY2019: Scientific Machine Learning and Artificial Intelligence: Uncertainty Quantification: Press Release, Award List, Funding Opportunity, Lab Funding Opportunity
- FY2019: Artificial Intelligence, Machine Learning, and Data Analytics CoDesign: Press Release, Award List, Lab Funding Opportunity
Award abstracts and information about awards made prior to FY2018 can be found here.
ASCR Workshops and Reports
- Opportunities and Challenges from Artificial Intelligence and Machine Learning for the Advancement of Science, Technology, and the Office of Science Missions (September 2020)
- AI for Science: Report on the Department of Energy Town Halls on Artificial Intelligence for Science (February 2020)
- Data and Models: A Framework for Advancing AI in Science (December 2019)
- Workshop Report on Basic Research Needs for Scientific Machine Learning: Core Technologies for Artificial Intelligence (February 2019)
- Machine Learning and Understanding for Intelligent Extreme Scale Scientific Computing and Discovery (December 2015)
Press Releases
- DOE Announces $29 Million for Ultramodern Data Analysis Tools (March 2021)
- The White House Office of Technology Policy, National Science Foundation and Department of Energy announce over $1 billion in awards for Artificial Intelligence Institutes and Quantum Information Science Research Centers (August 2020)
Other Notable Reports
- National Artificial Intelligence Research and Development Strategic Plan, 2023 Update (May 2023)
- Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops (May 2023)
Artificial Intelligence (AI) Program Manager Contacts:
Steven Lee
Privacy-Preserving AI
Steven.Lee@science.doe.gov
Margaret Lentz
Data and Visualization
Margaret.Lentz@science.doe.gov
Kalyan Perumalla
AI Systems
Kalyan.Perumalla@science.doe.gov
Robinson Pino
Neuromorphic Computing
Robinson.Pino@science.doe.gov
Bill Spotz
AI for Complex Systems
William.Spotz@science.doe.gov