Making a Material World Better, Faster Now: Q&A With Materials Project Director Kristin Persson

Berkeley Lab’s Kristin Persson shares her thoughts on what inspired her to launch the Materials Project online database, the future of materials research and machine learning, and how she found her own way into a STEM career.

Read more

Solar researchers across country join forces with industry to boost U.S. solar manufacturing

The University of Washington, the National Renewable Energy Laboratory, the University of North Carolina at Chapel Hill and the University of Toledo have formed the U.S. Manufacturing of Advanced Perovskites Consortium to accelerate the domestic commercialization of perovskite technologies.

Read more

Rutgers Expert Available to Discuss Air Quality During COVID-19

Read more

DIII-D Researchers Use Machine Learning to Steer Fusion Plasmas Near Operational Limits

Researchers at the DIII-D National Fusion Facility recently achieved a scientific first when they used machine learning calculations to automatically prevent fusion plasma disruptions in real time, while simultaneously optimizing the plasma for peak performance. The new experiments are the first of what they expect to be a wave of research in which machine learning–augmented controls could broaden the understanding of fusion plasmas. The work may help deliver reliable, peak-performance operation of future fusion reactors.

Read more