In thinking about how so many of the recent events Machine Design has covered have focused on artificial intelligence, I ...
Tech Xplore on MSN6d
Machine learning precisely predicts material characteristics for high-performance photovoltaicsIn the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with ...
In a bid to explore MAX phases with experimental significance across a significantly broader combinatorial space, the researchers of this study pioneered the development of a machine-learning model ...
Inspired by the humble deep-sea sponge, RMIT University engineers have developed a new material with remarkable compressive ...
Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool ...
Siemens demonstrates cutting-edge adaptive control monitoring capabilities at the TIMTOS 2025 machine tool expo in Taipei.
Newly published research from our team suggests that machine learning can act ... have spent decades trying to design their own enzymes to make new molecules, materials or therapeutics.
The global material informatics market size is projected to grow from USD 170.4 million in 2025 to USD 410.4 million in 2030, ...
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