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)

Robotics & Machine Learning Daily News2024，Issue(Jan.17) ：47-47.

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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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Abstract

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).

Key words

Eggenstein Leopoldshafen/Germany/Europe/Cyborgs/Emerging Technologies/Machine Learning/Karlsruhe Institute of Technology (KIT)

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出版年

2024

Robotics & Machine Learning Daily News

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