A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...
Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists. Their ML-based model could be ...
Kohei Noda, a researcher at JSR Corporation, and Professor Ryo Yoshida at the Institute of Statistical Mathematics, along with their research group, have developed an innovative machine learning ...
Schema fit enables hard ideas to click, learn assimilation vs accommodation and use pattern testing to understand faster ...
Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...
A recent study published in Small highlights how machine learning (ML) is reshaping the search for sustainable energy materials. Researchers introduced OptiMate, a graph attention network designed to ...
Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...
GREENWICH, Conn.--(BUSINESS WIRE)--Activate Learning is proud to announce the expansion of its partnership with OpenSciEd to offer OpenSciEd Elementary, a groundbreaking K-5 science curriculum ...
David James is CLO at 360Learning, host of The Learning & Development Podcast and former Director of L&D for The Walt Disney Company. For decades, learning and development (L&D) professionals have ...
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