Robotics & Machine Learning Daily News2024,Issue(Aug.21) :52-53.

Investigators at University of Leoben Detail Findings in Machine Learning (High- throughput First-principles Calculations and Machine Learning of Grain Boundary Segregation In Metals)

Robotics & Machine Learning Daily News2024,Issue(Aug.21) :52-53.

Investigators at University of Leoben Detail Findings in Machine Learning (High- throughput First-principles Calculations and Machine Learning of Grain Boundary Segregation In Metals)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Leoben, Austria, by NewsRx jour nalists, research stated, “The segregation of solute elements todefects in meta ls plays a fundamental role for microstructure evolution and the material perfor mance.However, the available computational data are scattered and inconsistent due to the use of differentsimulation parameters and methods.”

Key words

Leoben/Austria/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/University of Leoben

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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