Event Details

Joint Chemistry and Physics Special Lecture:

Zach Fried (Mac '21)

Zach is an astrochemist who seeks to understand the physical and chemical processes that occur in space. Until recently, in order to model interstellar abundances and predict new molecules for detection, observations have relied on complex chemical models based on a vast network of interconnected reactions. Zach's research group has developed a method involving machine learning that requires no prior knowledge of the interstellar conditions or reaction pathways. He is working to expand these machine learning techniques by including isotopically substituted molecules that provide important insight into molecular formation and astrophysical history. He hopes to apply machine learning methods to increase the efficiency and automation of rotational spectroscopy.