Scientists at the University of Oxford demonstrate an approach to interpreting how materials interact with polarized light, ...
Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...
A team from the Institute of Industrial Science, The University of Tokyo has developed MatAgent, an AI system powered by a ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Hydrogen peroxide is widely used in everyday life, from disinfectants and medical sterilization to environmental cleanup and ...
UL’s Bernal Institute hosts materials scientists collaborating with Kyoto University’s Prof Susumu Kitagawa, winner of the Nobel Prize in Chemistry.
Moon-Ho Jo, director of the IBS Center for Van der Waals Quantum Solids in Korea, tells Physics World how breakthroughs in ...
Discovering new inorganic materials is central to advancing technologies in catalysis, energy storage, semiconductors, and ...
It’s possible that AI could give materials discovery a much-needed jolt and usher in a new age that brings superconductors ...
A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and ...
To speed the introduction of solutions for 3M customers, these tools leverage generative AI, advanced modeling, and simulation-ready data cards, empowering users to design and digitally validate ...
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