Researchers from UC Davis and Lawrence Livermore National Laboratory have developed deep-learning model ensembles to investigate the magnetic properties of perovskite oxide multilayers and gain key insights into how they might be used in next-generation electronic devices.
With a Seed Grant for International Activities from UC Davis Global Affairs, Professor of Materials Science and Engineering Yayoi Takamura is collaborating with researchers from Chile to use plasma-enhanced pulsed laser deposition to synthesize and characterize thin films for sustainable energy technologies.
Two Ph.D. candidates in materials science and engineering at UC Davis will reside at Lawrence Berkeley National Laboratory to conduct research as part of the U.S. Department of Energy Office of Science Graduate Student Research Program.
New research published in Physical Review Letters shows how an experiment with lasers and magnets resulted in the domain walls within ferromagnetic layers moving at previously unheard-of speeds, paving the way for more sustainable and energy-efficient data storage.
Materials science and engineering professor Marina Leite has received $1 million to make switchable photonic devices more efficient with hybrid perovskites, a class of materials with physical properties that can be controlled through light alone.
The inside of a living cell is crowded with large, complex molecules. New research on how these molecules could spontaneously organize themselves could further our understanding of how cells manage their essential biochemistry in the crowded space.
For fourth-year materials science and engineering Ph.D. candidate Peifen Lyu, the decision to attend UC Davis is a personal one. Lyu works in the field of photonics, but has seen the effects of marble mining firsthand in her hometown.
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.
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.
Peifen Lyu ’19, Ph.D. ’25 has created a magnesium-based nanoscale optical device that dissolves in water and changes colors in displays. It creates a color change across several applications, such as a coating for pills or as sensors in environmental science for testing different chemical compositions.