Education
Florida State University secures Department of Energy Genesis Mission awards
Florida State University will lead four major projects as part of the U.S. Department of Energy’s highly coveted Genesis Mission, showcasing the university’s strengths in advanced technological innovation.
These landmark projects, led by FSU’s world-class faculty, utilize artificial intelligence and machine learning to tackle some of the nation’s most complex challenges, spanning high-temperature superconductors for fusion energy, quantum error correction, particle physics, and nuclear reaction modeling.
“These awards further affirm Florida State University’s emergence as a national leader at the frontiers of discovery, innovation and national service,” said FSU President Richard McCullough. “To secure four projects through the Department of Energy’s Genesis Mission is a defining achievement for our institution and a powerful recognition of the caliber of our faculty. FSU is helping shape the scientific agenda for the nation’s future by advancing the artificial intelligence, quantum and energy frameworks that will strengthen our national infrastructure, accelerate American innovation and reinforce U.S. technological leadership.”
The Genesis Mission represents a major federal investment to unite DOE national labs, industry and academia to accelerate breakthroughs in energy dominance, physical sciences and national security. It has drawn comparisons to the Manhattan Project or Apollo mission. The Department of Energy awarded 278 awards across 26 identified science and technology challenges to accelerate U.S. innovation and scientific leadership during a summit in Washington, D.C., on Wednesday, July 22.
FSU secured four awards and the FSU-headquartered National High Magnetic Field Laboratory is partnering on a fifth award led by Lawrence Berkeley National Laboratory. Three of the FSU awards stem from the Department of Physics, and the other is from the FAMU-FSU College of Engineering.
The awards are for an initial phase one that is nine months. However, researchers who received the awards are invited to show initial results of their work and apply for a second phase of funding that will likely be announced next year.
FSU Vice President for Research Stacey S. Patterson emphasized the strategic alignment of these projects with FSU’s mission to deliver solutions to critical global challenges.
“FSU has strategically positioned itself at the intersection of artificial intelligence and physical sciences to address some of the most critical vulnerabilities our country faces,” Patterson said. “From rebuilding a secure domestic supply chain for high-performance fusion magnets to paving the way for unbreakable, fault-tolerant quantum computers, these projects are highly practical solutions to real-world national security challenges. We are incredibly proud of our faculty for securing these historic awards, which will inspire next-generation breakthroughs and solidify FSU’s role as a trusted partner in federal scientific leadership.”
FSU researchers are leading the following Genesis projects:
AI-Powered Manufacturing of High Temperature Superconductors for Fusion Energy
Challenge Area: Reenvisioning Advanced Manufacturing and Industrial Productivity
Led by Associate Professor Fumitake Kametani, this project uses AI to transform how high temperature superconducting tapes are made for fusion energy magnets. Manufacturing these highly engineered tapes involves subtle, hard-to-detect variations that limit performance uniformity and thus drive up costs of magnets, so the team is building an AI “digital twin”, which is a predictive computer model of the production line. This model learns how manufacturing conditions shape tape quality, helping rebuild a US-owned supply chain of this critically important technology for US energy security. FSU leads the project with the US manufacturer High Temperature Superconductors, Inc., and Lawrence Berkeley National Laboratory. Sanghyun Lee, associate professor of Mathematics, and National High Magnetic Field Laboratory researchers Aixia Xu, Yan Xin, Jeseok Bang, and Chris Segal, will also play key roles in executing the project, as well as MagLab Chief Materials Scientist David Larbalestier.
Teaching AI to Fix Quantum Errors
Challenge Area: Realizing Quantum Systems for Discovery
Led by Professor of Physics Nicholas Bonesteel, this project develops AI that acts as a real-time diagnostic system for quantum computers. Quantum computers are extraordinarily sensitive to noise, and keeping a quantum computation on track requires rapidly interpreting streams of indirect error signals. For today’s leading quantum codes, efficient classical algorithms handle this task — but they break down for the richer, more powerful codes expected to follow. The team is training neural networks to decode these signals for this next generation of quantum codes — essential groundwork for quantum computers that work at full scale. Co-Principal Investigators on this award include Assistant Professor of Physics Yanzhu Chen, Professor of Computer Science Xiuwen Liu, and FAMU-FSU College of Engineering Professor William Oates.
Accelerating Cosmic Discovery in Particle Physics
Challenge Area: Unifying Physics from Quarks to Cosmos
Led by Wyatt-Green Chair of Physics Mayly Sanchez and Robert O. Lawton Professor of Physics Harrison B. Prosper, this project uses AI to help scientists figure out one of the biggest mysteries in the universe: why everything around us is made of matter instead of antimatter. A massive U.S. experiment called DUNE will shoot invisible particles called neutrinos 800 miles through the Earth to find out, but physicists can only interpret what they see by comparing it against computer simulations that aren’t yet accurate enough. Today, improving those simulations is slow, hand-guided work that can take years. The FSU team is training an AI on millions of recorded neutrino collisions to find every place the simulation disagrees with reality at once, then compress what it learned into compact equations physicists can read. The team will transfer what the AI learns from one experiment directly to DUNE, opening the way to a system that unites the world’s neutrino data into a single shared model of how neutrinos interact with matter.
AI and Quantum Computing for the Next Generation of Nuclear Science
Challenge Area: Delivery of Fusion Energy
A multi-institutional team led by FSU will combine artificial intelligence with next-generation quantum-computing methods to improve understanding of atomic nuclei and other quantum systems. By combining AI-driven data analysis with advanced quantum-information methods, the researchers will address longstanding challenges in interpreting the vast amounts of experimental nuclear data collected over decades. Their work aims to produce predictive models that reveal how quantum systems interact, evolve, decay, and respond to external influences. Beyond advancing fundamental science, these developments could contribute to progress in quantum technologies, clean energy, and national security. The project brings together principal investigator Alexander Volya, Hitesh Changlani, and Yanzhu Chen of FSU; co-principal investigator Grigory Rogachev of Texas A&M University; Richard J. deBoer of the University of Notre Dame; collaborators at Quantinuum; and participating students and researchers across the institutions.
