Advancements in Machine Learning for Materials Science Machine learning (ML) is really shaking things up in materials ...

More stable and efficient materials for solar cells are needed in the green transition. So-called halide perovskites are highlighted as a promising alternative to today's silicon materials.

Artificial intelligence is revolutionizing materials science, from accelerating simulations to automating data extraction and real-time experimental analysis. New AI-powered tools like GrainBot, ...

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Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...

Studying and designing novel materials is a central application of quantum mechanics. Chemists, materials scientists, and physicists focus on subtle interactions in quantum materials and to uncover ...