The U.S. Department of Energy awarded $159 million across 12 Phase II Genesis Mission projects focused on applying advanced artificial intelligence and supercomputing to major scientific and technology challenges.
The awards expand the Genesis Mission, which was launched in November 2025 to accelerate scientific discovery and strengthen U.S. leadership across science, medicine, and technology.
The 12 Phase II projects span fusion energy, biotechnology, particle physics, geothermal energy, critical minerals, enzyme design, semiconductors, particle accelerators, quantum computing, high-performance computing, quantum materials, and rare isotope research.
Commonwealth Fusion Systems will lead a project developing an AI-enabled digital twin platform for SPARC.
The platform is intended to simulate and optimize operations of the company’s fusion demonstration device.
The University of California San Diego will lead a project designed to expand the RNA structure database by fivefold to improve AI models used in biotechnology.
MIT will lead an initiative combining AI with lattice quantum chromodynamics calculations to accelerate fundamental particle physics research.
The University of California Irvine will develop MAESTRO, a multi-agent AI platform designed to map, stimulate, and manage deep underground reservoirs for geothermal energy.
The University of Illinois Urbana-Champaign will lead an AI-assisted project focused on improving electrochemical extraction of critical rare-earth elements from domestic sources.
The University of Washington Seattle will develop AI tools for functional enzyme design.
Fermilab will lead AXESS, an initiative using AI to design high-performance microchips capable of functioning in extreme environments including space, high radiation, and ultracold conditions.
Lawrence Berkeley National Laboratory will develop a shared AI platform designed to help National Laboratories autonomously operate and optimize particle accelerators.
Harvard University will combine AI and quantum hardware to improve quantum error correction.
Argonne National Laboratory will develop an AI framework for modernizing and optimizing scientific software used in supercomputing.
Oak Ridge National Laboratory will use AI to design functional quantum magnets for applications including quantum sensing and low-power electronics.
Northeastern University will develop an intelligent assistant for the Facility for Rare Isotope Beams that could free up hundreds of hours of research time annually.
The new selections increase the Genesis Mission’s Phase II portfolio to 14 projects, including two previously announced awards.
DOE also announced six additional Phase I awards.
KEY QUOTES:
“These projects represent a critical step in turning the promise of Super Intelligence for science into transformative scientific capability.”
Dr. Darío Gil, DOE Under Secretary for Science
“By bringing together our National Labs, universities, and industry partners, we are building on extraordinary work already underway and accelerating the pace of discovery.”
Dr. Darío Gil, DOE Under Secretary for Science
