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Find similar grantsScientific Machine Learning for Modeling and Simulations is sponsored by DOE Office of Science. This program supports scientific machine learning for the predictive modeling and simulation of complex systems.
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Department of Energy Announces $16 Million for Research on Scientific Machine Learning for Complex Systems Department of Energy Announces $16 Million for Research on Scientific Machine Learning for Complex Systems US Department of Energy Office of Science sent this bulletin at 08/24/2023 01:30 PM EDT View as a webpage / Share Department of Energy Announces $16 Million for Research on Scientific Machine Learning for Complex Systems Projects Focus on Greater Predictive Capabilities for Scientific Simulations Today, the U.S. Department of Energy (DOE) announced $16 million in funding for four projects in scientific machine learning for the predictive modeling and simulation of complex systems.
High-performance computational models and simulations, combined with data from experiments and observations, are being used to increase our scientific understanding of composite materials, climate, turbulent fluid flow, and other complex systems and processes.
“Basic research for scientific computing and machine learning continues to have a wide impact across a range of applications,” said Ceren Susut, DOE Acting Associate Director of Science for Advanced Scientific Computing Research . “These projects are important for advancing our modeling, simulation, and data analysis capabilities for scientific discovery and innovation.
” A collaboration led by Pacific Northwest National Laboratory, partnering with Spelman College, for quantifying uncertainties and improving predictions in atmospheric simulations and measurements. A project led by Johns Hopkins University for research on the properties and behavior of additively manufactured composites in materials science and turbulent, high-speed fluid flow in aerospace engineering applications.
The projects were selected by competitive peer review under the DOE Funding Opportunity Announcement for Scientific Machine Learning for Complex Systems, DE-FOA-0002958. Total funding is $16 million for projects lasting up to four years in duration, with $3. 3 million in Fiscal Year 2023 dollars and outyear funding contingent on congressional appropriations.
The list of projects and more information can be found on the Advanced Scientific Computing Research program homepage. Selection for award negotiations is not a commitment by DOE to issue an award or provide funding. Before funding is issued, DOE and the applicants will undergo a negotiation process, and DOE may cancel negotiations and rescind the selection for any reason during that time.
According to the current listing, eligibility includes: Not explicitly stated, but research community and computational scientists are mentioned as beneficiaries. Confirm the full requirements in the official notice before applying.
The current listing shows $16 million for four projects (in 2023), with potential for individual awards of $50,000 to $5 million through a broader open call. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Scientific Machine Learning for Modeling and Simulations are due September 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Scientific Machine Learning for Modeling and Simulations is funded by DOE Office of Science. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
FY26 Phase I Genesis Mission Opportunity (SBIR/STTR): Scaling the Biotechnology Revolution is sponsored by U.S. Department of Energy (DOE) Office of Technology Commercialization (OTC). This SBIR/STTR opportunity, part of the Genesis Mission, supports projects focused on 'Scaling the Biotechnology Revolution' using AI. It aims to accelerate scientific discovery and enhance U. S. leadership in key technologies.
FY 2026 Continuation of Solicitation for the Office of Science Financial Assistance Program is sponsored by U.S. Department of Energy - Office of Science. Open solicitation for research in Advanced Scientific Computing Research, High Energy Physics, Nuclear Physics, and other areas, including applications of AI and machine learning to fundamental physics and science.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
The Trump administration committed $5B and 278 projects across 15+ agencies to the Genesis Mission. Here's the structure — and how to position for the next wave.
Read articleOn July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.
Read articleDOE's FY2026 Office of Science open-call solicitation (DE-FOA-0003600) makes roughly $500 million available across about 500 awards of $50,000 to $5 million — across computing, physics, chemistry, biology, fusion, and isotopes — with a rolling window that stays open through September 30, 2026. Unlike a targeted NOFO, it lets investigators propose almost anything within the agency's mission. Here is how the open call actually works, why it is chronically underused, and how to write into it.
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