Robotics & Machine Learning Daily News2024,Issue(Jan.15) :32-33.

Study Findings from Los Alamos National Laboratory Provide New Insights into Machine Learning (Machine Learning Based Approach To Predict Ductile Damage Model Parameters for Polycrystalline Metals)

Robotics & Machine Learning Daily News2024,Issue(Jan.15) :32-33.

Study Findings from Los Alamos National Laboratory Provide New Insights into Machine Learning (Machine Learning Based Approach To Predict Ductile Damage Model Parameters for Polycrystalline Metals)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Los Alamos, New Mexico, by NewsRx journalists, research stated, “Damage modelsfor ductile materials typically need to be parameterized, often with the appropriate parameters changingfor a given material depending on the loading conditions. This can make parameterizing these modelscomputationally expensive, since an inverse problem must be solved for each loading condition.”

Key words

Los Alamos/New Mexico/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Los Alamos National Laboratory

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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