The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...
Explore how AI is transforming advanced materials design by analyzing microscopy images to create smarter, faster innovation ...
(Nanowerk News) Researchers at the University of Toronto’s Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon ...
Morning Overview on MSN
Scientists build a ‘periodic table’ for AI models
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
Scientists have used artificial intelligence (AI) to design never-before-seen nanomaterials with the strength of carbon steel and the lightness of styrofoam. The new nanomaterials, made using machine ...
Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...
Morning Overview on MSN
AI creates a new alloy that’s 5x stronger than traditional aluminum
Artificial intelligence has just helped push one of the world’s most familiar metals into unfamiliar territory. By teaming ...
In a sped up video, the AutoBot performs various steps to synthesize and characterize halide perovskite films at the Molecular Foundry at Berkeley Lab. The researchers tested the platform on an ...
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