首页|Findings on Machine Learning Reported by Investigators at Karlsruhe Institute of Technology (KIT) (Mapping Local Atomic Structure of Metallic Glasses Using Machine Learning Aided 4d-stem)
Findings on Machine Learning Reported by Investigators at Karlsruhe Institute of Technology (KIT) (Mapping Local Atomic Structure of Metallic Glasses Using Machine Learning Aided 4d-stem)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reporting outof Eggenstein Leopoldshafen, Germany, by NewsRx editors, research stated, “Amorphous materials such aspolymers, metallic and oxidic glasses consist of heterogeneous atomic/molecular packing at the nanoscale.Spatial variation of the local structure plays an important role in determining material properties.”Financial support for this research came from German Research Foundation (DFG).
Eggenstein LeopoldshafenGermanyEuropeCyborgsEmerging TechnologiesMachine LearningKarlsruhe Institute of Technology (KIT)
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