Scientific Machine Learning for Complex Systems

Scientific Machine Learning for Complex Systems is sponsored by U.S. Department of Energy (DOE). This funding opportunity supports research in scientific machine learning for the predictive modeling and simulation of complex systems. The DOE announced $16 million in funding for four projects in this area in August 2023.

ASCR Applied Mathematics | U.S. DOE Office of Science (SC) ASCR Applied Mathematics supports basic research leading to fundamental mathematical advances and computational breakthroughs across DOE and SC missions.

Basic research in scalable algorithms and mathematical libraries, multiscale and multi-physics modeling, scientific AI , and efficient analysis of massive data sets underpin all of DOE’s computational and data-intensive science efforts.

Key activities include support for foundational research in: Multiscale modeling and multiphysics coupling Advanced solvers for large-scale linear and nonlinear systems of equations Methods that use asynchrony or randomness Uncertainty quantification Mathematical methods for scientific AI Advances in such methods have historically contributed as much, if not more, to gains in computational science than hardware improvements alone.

Forward-looking efforts by applied-mathematics research anticipate DOE mission needs from the closer coupling and integration of scientific modeling, data, and scientific AI with advanced computing.

These efforts enable greater capabilities for scientific discovery, design, and decision-support in complex systems and new algorithms to support data analysis at the edge of experiments and instruments and protect the privacy of sensitive datasets.

FY2026: Panel on Inverse Methods for Complex Systems Under Uncertainty: Funding Opportunity FY2025: Panel on Randomized Algorithms for Combinatorial Scientific Computing: Funding Opportunity FY2025: EXPRESS: 2025 Exploratory Research for Extreme-Scale Science: Funding Opportunity FY2025: Early Career Research Program: Funding Opportunity FY2024: FY2024 Reaching a New Energy Sciences Workforce (RENEW): Press Release , Award List , Funding Opportunity FY2024: Data Reduction for Science: Press Release , Award List , Funding Opportunity FY2024: Advancements in Artificial Intelligence for Science: Press Release , Award List, Funding Opportunity FY2024: Competitive Portfolios for Advanced Scientific Computing Research: Press Release , Award List , Lab Funding Opportunity FY2024: FY2024 Funding for Accelerated, Inclusive Research (FAIR): Press Release , Award List , Funding Opportunity FY2024: Early Career Research Program: Press Release , Award List , Funding Opportunity FY2023: Advanced Scientific Computing Research for DOE User Facilities: Press Release , Award List , Lab Funding Opportunity FY2023: Scientific Machine Learning for Complex Systems: Press Release , Award List , Funding Opportunity FY2023: Advanced Scientific Computing Research – Reaching a New Energy Sciences Workforce (ASCR-RENEW): Press Release , Award List , Funding Opportunity FY2023: FY2023 Funding for Accelerated, Inclusive Research (FAIR): Press Release , Award List , Funding Opportunity FY2023: Early Career Research Program: Press Release , Award Abstracts , Funding Opportunity FY2022: Randomized Algorithms for Combinatorial Scientific Computing: Press Release , Award List , Funding Opportunity FY2022: EXPRESS: 2022 Exploratory Research for Extreme-Scale Science: Press Release , Award List , Funding Opportunity FY2022: 2022 Mathematical Multifaceted Integrated Capability Centers (MMICCs): Press Release , Award List , Funding Opportunity FY2022: Early Career Research Program: Press Release , Award Abstracts , Funding Opportunity FY2021: Bridge2AI and Privacy Preserving Artificial Intelligence Research: Press Release , Award List , Lab Funding Opportunity FY2021: Data Science for Reduction: Press Release , Award List , 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 FY2021: Early Career Research Program: Press Release , Award Abstracts , 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: Early Career Research Program: Press Release , Award Abstracts , Funding Opportunity , Lab Funding Opportunity FY2019: Scientific Machine Learning and Artificial Intelligence: Uncertainty Quantification: Press Release , Award List , Funding Opportunity , Lab Funding Opportunity FY2019: Early Career Research Program: Press Release , Award Abstracts , Funding Opportunity , Lab Funding Opportunity FY2018: 2018 Mathematical Multifaceted Integrated Capability Centers (MMICCs): Press Release, Award List, Funding Announcement , Lab Funding Announcement FY2018: Early Career Research Program: Press Release , Award Abstracts , Funding Announcement , Lab Funding Announcement Award abstracts and information about awards made prior to FY2018 can be found here .

ASCR Workshops and Reports Inverse Methods for Complex Systems under Uncertainty (June 2025) 2024 Workshop on Energy-Efficient Computing for Science (September 2024) 2024 Workshop on Analog Computing for Science (September 2024) 2024 Workshop on Neuromorphic Computing for Science (September 2024) Randomized Algorithms for Scientific Computing (RASC) (July 2021) Data Reduction for Science (April 2021) 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) ASCR Workshop on In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources (January 2019) Crosscut Report: Exascale Requirements Reviews (January 2018) Extreme Heterogeneity 2018: Productive Computational Science in the Era of Extreme Heterogeneity Report for DOE ASCR Basic Research Needs Workshop on Extreme Heterogeneity (January 2018) Workshop and reports completed prior to FY2018 can be found here .

2024 ASCR Applied Mathematics and MMICCs Principal Investigators Meeting 2019 ASCR Applied Mathematics Principal Investigators Meeting 2017 ASCR Applied Mathematics Principal Investigators Meeting Advanced Research Directions on AI for Science, Energy, and Security: Report on Summer 2022 Workshops (May 2023) National Strategy to Advance Privacy-Preserving Data Sharing and Analytics (March 2023) Basic Energy Sciences Network Requirements Review (Final Report) (November 2022) National Security Commission on Artificial Intelligence Final Report (October 2021) Office of Basic Energy Sciences Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning (October 2020) Opportunities and Challenges from Artificial Intelligence and Machine Learning for the Advancement of Science, Technology, and the Office of Science Missions (September 2020) National Strategic Computing Initiative Update: Pioneering the Future of Computing (November 2019) Applied Mathematics Point of Contact Program Managers: David.

Rabson@science. doe. gov Building a Flexible Control Framework for Quantum Networks A new control framework enables automated, reliable control of quantum networks, paving the way for practical deployment.

Improving Computing Memory Performance for Scientific Discovery A new framework employs usage patterns to improve data placement. U.S. Department of Energy SC-31/Germantown Building 1000 Independence Ave. , SW Leaving Office of Science The link you have requested will take you to a website outside the Office of Science.

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