Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Scientists at the University of Oxford demonstrate an approach to interpreting how materials interact with polarized light, ...
(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...
As three-dimensional integrated circuit technology becomes the architectural backbone of AI, high-performance computing (HPC), and advanced edge systems, thermal management has sh ...
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Model predicts optimal cooling and aging for stronger, lightweight aluminum alloys
High-strength aluminum alloys are critical for making cars and planes more lightweight and fuel-efficient, but manufacturers ...
British biochemist Professor Frederick Sanger was awarded his second Nobel Prize for Chemistry in 1980. He is only the third person to win Nobel Prizes for science in the history of he awards and ...
Interesting Engineering on MSN
MIT researchers crack secrets of proton movement in metal oxides with new model
A model developed by researchers at MIT can help predict proton movement inside materials based on hydrogen bond length and ...
Chemists have developed a generative AI model that can make it much easier to determine the structures of powdered crystal materials. The prediction model could help researchers characterize materials ...
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