WASHINGTON—The U.S. Department of Energy (DOE) today announced over $320 million in investments to advance the Genesis Mission’s artificial intelligence capabilities. These awards are in accordance with President Trump’s Working Families Tax Cut and other DOE appropriations to advance “AI for science” initiatives.
DOE said the awards will begin building the integrated American Science and Security Platform, a discovery engine designed to double the productivity and impact of American science and engineering investments within a decade.
To view the full list of projects and awards, please click here.
These four initiatives will deliver breakthroughs to secure U.S. energy dominance, strengthen national security, and accelerate scientific discovery:
- The American Science Cloud (AmSC): Cornerstone of the Genesis Mission’s Platform infrastructure, hosting and distributing AI models and scientific data to the broader research community. AmSC will enable the National Labs, industry, and research partners to curate and apply DOE’s extensive AI-ready scientific data.
- The Transformational AI Models Consortium (ModCon): Cornerstone of the Genesis Mission’s AI models and data efforts, will build and deploy self-improving AI models that advance science, engineering, and energy missions by harnessing DOE’s unique data, facilities, and expertise. Selected teams will develop foundational capabilities needed across multiple scientific and engineering domains.
- Robotics and automation: 14 projects in robotics, automated laboratories, and autonomous control of large-scale experiments in support of the Genesis Mission. These projects aim to transform laboratory environments and scientific experiments with intelligent systems leveraging embodied AI, advanced automation, and robotics.
- Foundational AI awards: Through 37 awards, these projects will curate vast quantities of existing data and develop refined AI models through a combination of experimental insights and theoretical understanding, ensuring that AI systems are powerful yet robust, reliable, and rigorously validated for scientific applications. These new capabilities will enable AI to parse through massive datasets derived from observational studies, experiments, and simulations to reveal new insights, and even drive autonomous laboratories and design new experiments and instruments, to solve the nation’s most challenging scientific problems.
