Chemistry graduate student Cocoro Nagasaka works at the interface of environmental and energy sciences. And now he’s continuing his research at the Lawrence Livermore National Laboratory, or LLNL, through the prestigious U.S. Department of Energy’s Office of Science Graduate Student Research program.

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.