首页|Reports from Nippon Steel Corporation Highlight Recent Research in Machine Learn ing (Machine learning interatomic potential with DFT accuracy for general grain boundaries in a-Fe)
Reports from Nippon Steel Corporation Highlight Recent Research in Machine Learn ing (Machine learning interatomic potential with DFT accuracy for general grain boundaries in a-Fe)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New study results on artificial intelligence have been published. According to news reportingoriginating from the Nippon Steel C orporation by NewsRx correspondents, research stated, “To advancethe developmen t of high-strength polycrystalline metallic materials towards achieving carbon n eutrality,it is essential to design materials in which the atomic level control of general grain boundaries (GGBs),which govern the material properties, is ac hieved.”
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