UC Davis engineers Isaac Kim and Mingwei Zhang were among the recipients of the inaugural awards granted through the U.S. Department of Energy’s Genesis Mission — a national program leveraging artificial intelligence to accelerate breakthroughs in energy, discovery science and national security.
A new study from UC Davis materials science and engineering researchers shows how combining AI with laboratory experiments could speed up the development of more durable, stable materials, ultimately leading to reliable, low-cost solar energy technologies.
UC Davis undergraduate teams captured three of four major awards in the 2025-26 CITRIS Aviation Prize, developing innovative software and simulation tools to support California’s future advanced air mobility network and electric air taxi transportation systems.
Clinicians and engineers at the University of California, Davis, are collaborating on AI-driven tools to analyze vast digital archives of brain tissue scans — work that cannot be done at scale by humans alone — to better understand dementia and improve diagnosis and treatment.
What if you could talk Shakespeare’s Macbeth out of violence? A new UC Davis-developed game lets players do just that, using AI to simulate dialogue and teach real-world conflict de-escalation skills through interactive storytelling rooted in some of the greatest dramas in the English language.
Premkumar Devanbu has been elected a Foreign Member of the Academia Europaea for his extensive record of award-winning and influential contributions and long-term collaboration with European institutions. His research focuses on the impact of large language models on software development.
Climate models generate billions of data points, and traditional analysis methods can't keep up. UC Davis Ph.D. student Yuya Kawakami developed ClimateSOM, an interactive visualization tool that helps scientists explore thousands of climate futures and uncover patterns that current methods can miss.
The Minnesota marshes Matthew Maciosek explored as a child are threatened by agricultural groundwater use. Now a UC Davis biological systems engineering student, he's researching sustainable irrigation practices in California's Central Valley to help protect wetlands for future generations.
Electrical and computer engineers at UC Davis have theoretically demonstrated a thermophotovoltaic system, a renewable energy method whereby heat is turned into electricity, that can achieve a power conversion efficiency rate of 50%, more than double that of commercially available solar cells.
In 2016, Aggie Engineers set the stage with a groundbreaking paper on the methodical implementation of deep convolutional neural networks. Now, one of the world’s largest international conferences on silicon semiconductor research, ASP-DAC, is recognizing the paper as the most influential article published over the last decade.
