Engineering the future of fusion
A primary focus of the dialogue was centered on the transition of inertial fusion energy from laboratory success to commercial viability. In 2022, LLNL achieved a historical milestone at its National Ignition Facility by producing a fusion reaction that yielded more energy than the laser energy required to ignite it. U of A researchers are developing the materials science and techno-economic modeling necessary for shortening the timeline for carbon-free baseload power.
Horst Hahn, special adviser to the senior vice president for research and partnerships and professor of materials science and engineering, emphasized the importance of this integrated approach.
“What impressed me during Arizona Livermore Days was the depth of cross-disciplinary engagement. This is precisely the integrated approach required to meet national energy priorities and move fusion forward on an accelerated timeline,” Hahn said.
Deep space discovery, the Pandora mission and AI
The collaboration extends into space through high-performance computing, astronomy arrays and satellite technology. One key discussion was the NASA Pandora SmallSat mission, which is designed to study the atmospheres of planets orbiting other stars to determine their potential habitability. LLNL helped build and integrate the spacecraft used for Pandora, while the U of A runs mission operations and leads key science efforts.
Artificial intelligence serves as the connective tissue across all of the research streams. Jeff Hittinger, deputy associate director for science and technology at LLNL discussed the Department of Energy Genesis Mission, a national initiative to transform scientific discovery by building an integrated AI platform linking supercomputers and experimental data across the national laboratory system.
At the summit, researchers explored how potential Genesis projects, such as self-driving laboratories for materials discovery and digital twin modeling, expand research capacity at an unprecedented scale. LLNL researchers noted that AI was instrumental in their recent fusion breakthrough, and the continued integration of machine learning into scientific workflows is essential for maintaining national technological leadership.
A pipeline for economic and national resilience
For partners and stakeholders, this alliance functions as an economic and workforce engine. The partnership creates a direct pipeline for students and early-career researchers to enter one of the world’s premier national laboratories, ensuring the state remains a leader in the high-tech economy. By integrating the university’s transdisciplinary research model with the laboratory’s national security mandate, the University of Arizona and LLNL are addressing the defining challenges of the 21st century.