Computer Sciences
Researchers at Duke University have demonstrated that incorporating known physics into machine learning algorithms can help the inscrutable black boxes attain new levels of transparency and insight into material properties.
May 18, 2022
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524
Machine learning & AI
If the properties of materials can be reliably predicted, then the process of developing new products for a huge range of industries can be streamlined and accelerated. In a study published in Advanced Intelligent Systems, ...
Oct 18, 2021
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4
Computer Sciences
Advancements in energy technologies, healthcare, semiconductors and food production all have one thing in common: they rely on developing new materials—new combinations of atoms—that have specific properties enabling ...
Jan 14, 2021
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70
Engineering
The future of computation is bright—literally.
Feb 5, 2020
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6
