In a new study published July 9 in Nature Communications, researchers from the University of California, Davis, and George Washington University use computer simulations to study how molten carbon crystallizes into either graphite or diamond at temperatures and pressures similar to Earth’s interior. The team’s findings challenge conventional understanding of diamond formation and reveal why experimental results studying carbon's phase behavior have been so inconsistent.

In a new study appearing in JACS Au, UC Davis researchers harness the power of machine learning to improve the molecular interpretation of a spectroscopy technique that’s prominently used to investigate the air-ice interface, the critical boundary area for these chemical reactions.

Tatiana Mamani, a Ph.D. candidate in physical chemistry working with Professor of Chemistry Davide Donadio, is among 62 Ph.D. students selected nationwide to participate in Department of Energy's Office of Science Graduate Student Research program.

At the College of Letters and Science at UC Davis, researchers are using the power of machine learning to help protect us from the next pandemic, discover and build new materials, and explore the myriad galaxies in the heavens above.

Among the 27 faculty members who won this year’s award, eight were from the College of Letters and Sciences.

In the lab of Professor of Chemistry Davide Donadio, physical chemistry graduate student Maggie Berrens investigates the fundamental properties of the ice surface to better understand how ice acts as a catalyst for environmental reactions.