CEE Seminar: Decoding the Glass Genome through Modeling and Machine Learning

Abstract: From windows to light bulbs, glass has played a pivotal role in human history. Today, optical glass fibers and touch-screen display glasses have changed the way humans interact with information. Glass also shows great promises to solve some of tomorrow’s grand challenges in healthcare or environment. However, addressing these challenges requires the discovery of new glass formulations exhibiting unusual properties. Rather than relying on traditional trial-and-error Edisonian approaches, accelerating the discovery of new glasses requires one to decode the glass genome, that is, to decipher how the properties of glasses are controlled by their underlying composition and structural features (i.e., the glass genes). In this presentation, I will discuss the importance of glass in modern society and present some of our recent efforts in decoding the glass genome by means of atomic simulations, topological modeling and machine learning.

Bio: Mathieu Bauchy is an assistant professor in the Department of Civil & Environmental Engineering at UCLA. He received his undergraduate education in physics at Ecole Normale Supérieure (Paris, France) before pursuing a doctorate in condensed matter at Université Pierre et Marie Curie (Paris). He then joined the Massachusetts Institute of Technology as a postdoctoral associate. Bauchy’s research focuses on revealing the physics governing the behavior of engineering materials by means of multiscale simulations and machine learning. He received the Norbert J. Kreidl Award from the American Ceramics Society and the Materials Young Investigator Award from MDPI. He has delivered more than 60 scientific presentations and published more than 100 papers.