Robotics & Machine Learning Daily News2024,Issue(Feb.14) :21-22.DOI:10.3390/ma17030601

Researcher at University of Houston Zeroes in on Machine Learning (Accelerating Elastic Property Prediction in Fe-C Alloys through Coupling of Molecular Dynamics and Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :21-22.DOI:10.3390/ma17030601

Researcher at University of Houston Zeroes in on Machine Learning (Accelerating Elastic Property Prediction in Fe-C Alloys through Coupling of Molecular Dynamics and Machine Learning)

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Abstract

A new study on artificial intelligence is now available. According to news reporting originating from Houston, Texas, by NewsRx correspondents, research stated, “The scarcity of high-quality data presents a major challenge to the prediction of material properties using machine learning (ML) models. Obtaining material property data from experiments is economically cost-prohibitive, if not impossible.”

Key words

University of Houston/Houston/Texas/United States/North and Central America/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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