首页|Findings from Swiss Federal Laboratories for Materials Science and Technology Re veals New Findings on Machine Learning (Machine Learning Potential for the Cu-w System)
Findings from Swiss Federal Laboratories for Materials Science and Technology Re veals New Findings on Machine Learning (Machine Learning Potential for the Cu-w System)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Thun, Switzerlan d, by NewsRx journalists, research stated, “Combining the excellentthermal and electrical properties of Cu with the high abrasion resistance and thermal stabil ity of W, Cu-Wnanoparticle-reinforced metal matrix composites and nano-multilay ers are finding applications as brazingfillers and shielding material for plasm a and radiation. Due to the large lattice mismatch between fccCu and bcc W, the se systems have complex interfaces that are beyond the scales suitable for ab in itiomethods, thus motivating the development of chemically accurate interatomic potentials.”
ThunSwitzerlandEuropeCyborgsEmer ging TechnologiesMachine LearningSwiss Federal Laboratories for Materials Sc ience and Technology
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