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.

A Nudge Toward Greener Flying

Air travel now accounts for about 3% of worldwide greenhouse gas emissions, and the sector’s emissions are rising: Global air travel more than doubled from 2004 to 2019. This is literally a first-world problem — most people on Earth fly rarely, if ever. By some estimates, the 1% of humans who fly most often are responsible for half of all air travel emissions.

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.