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25 Apr, 2024

Machine Learning Probes 3D Microstructures

August 4, 2020 sarah JonasFeature

Scientists have developed a machine learning technique for materials research at the atomic and molecular scales. The technique visualizes and quantifies the atomic and molecular structures in three-dimensional samples in real time. It is designed primarily to identify and characterize microstructures in 3D samples.

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

May 11, 2020 sarah JonasFeature

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.