Faculty

Harnessing AI to Advance Solar Cell Research

Professor of Materials Science and Engineering Marina Leite leads a team of UC Davis researchers in an AI-driven project to build foundational knowledge of halide perovskites, a promising material for solar cells.

International Women’s Day Spotlight on UC Davis Women in Materials Science and Engineering

In honor of International Women’s Day on March 8, the University of California, Davis, College of Engineering recognizes women in engineering, their journey to and in the field, and how they promote a diverse, equitable and inclusive world.

Meet some remarkable women in the Department of Materials Science and Engineering, and learn how they inspire inclusion in engineering.

In Memory of Distinguished Professor Emeritus Subhash Mahajan

It is with great sadness that the Department of Materials Science and Engineering announces the passing of Distinguished Professor Emeritus Subhash Mahajan. He is remembered in the community as a gifted mentor and generous friend and colleague. 

Mahajan was considered one of the foremost experts on electronic materials and slip and twinning phenomena. His research focused on understanding the interrelationship between structure properties in semiconductors and the deformation behavior of solids.  

Faculty Appointment a Homecoming for New Materials Science and Engineering Professor

For many new faculty members in the College of Engineering, the interdisciplinary advantages of the University of California, Davis, are welcome discoveries. Mingwei Zhang, a new assistant professor in the Department of Materials Science and Engineering, was already very familiar with the unique connections UC Davis creates across campus though.

The Space Between

We all have experience with water turning from solid to liquid to gas and back again. But knowing what happens scientifically during those transitions is an essential, yet unanswered scientific question that Assistant Professor of Materials Science and Engineering Jeremy Mason and his research group are pursuing.

Using Machine Learning to Find Reliable and Low-Cost Solar Cells

Researchers at the University of California, Davis College of Engineering are using machine learning to identify new materials for high-efficiency solar cells. Using high-throughput experiments and machine learning-based algorithms, they have found it is possible to forecast the materials’ dynamic behavior with very high accuracy, without the need to perform as many experiments.