How Scientists Are Accelerating Chemistry Discoveries With Automation

Researchers have developed an automated workflow that could accelerate the discovery of new pharmaceutical drugs and other useful products. The new approach could enable real-time reaction analysis and identify new chemical-reaction products much faster than current laboratory methods.

Designing Materials from First Principles with Yuan Ping

The UC Santa Cruz professor uses computing resources at Brookhaven Lab’s Center for Functional Nanomaterials to run calculations for quantum information science, spintronics, and energy research.

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.