Robotics & Machine Learning Daily News2024,Issue(Apr.26) :46-47.

Report Summarizes Machine Learning Study Findings from National Center for Nucle ar Research (Alloy Informatics Through Ab Initio Charge Density Profiles: Case S tudy of Hydrogen Effects In Facecentred Cubic Crystals)

Robotics & Machine Learning Daily News2024,Issue(Apr.26) :46-47.

Report Summarizes Machine Learning Study Findings from National Center for Nucle ar Research (Alloy Informatics Through Ab Initio Charge Density Profiles: Case S tudy of Hydrogen Effects In Facecentred Cubic Crystals)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reportingfrom Warsaw, Poland, by NewsRx journalis ts, research stated, “Materials design has traditionally evolvedthrough trial - error approaches, mainly due to the non -local relationship between microstructu res andproperties such as strength and toughness. We propose ‘alloy informatics ’ as a machine learning basedprototype predictive approach for alloys and compo unds, using electron charge density profiles derivedfrom first -principle calcu lations.”

Key words

Warsaw/Poland/Europe/Cyborgs/Element s/Emerging Technologies/Gases/Hydrogen/Inorganic Chemicals/Machine Learning/National Center for Nuclear Research

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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