Robotics & Machine Learning Daily News2024,Issue(Jan.26) :35-36.

New Machine Learning Study Findings Have Been Reported by Investigators at Northwestern University (Oxygen Vacancy Formation Energy In Metal Oxides: High-throughput Computational Studies and Machine-learning Predictions)

Robotics & Machine Learning Daily News2024,Issue(Jan.26) :35-36.

New Machine Learning Study Findings Have Been Reported by Investigators at Northwestern University (Oxygen Vacancy Formation Energy In Metal Oxides: High-throughput Computational Studies and Machine-learning Predictions)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are presented in a new report. According to newsreporting originating in Evanston, Illinois, by NewsRx journalists, research stated, “The oxygen vacancyformation energy (Delta E-vf) governs defect concentrations alongside the entropy and is a useful metricto perform materials selection for a variety of applications. However, density functional theory (DFT)calculations of Delta E-vf come at a greater computational cost than the typical bulk calculations availablein materials databases due to the involvement of multiple vacancy-containing supercells.”

Key words

Evanston/Illinois/United States/North and Central America/Anions/Chalcogens/Cyborgs/Emerging Technologies/Machine Learning/Oxides/Oxygen Compounds/Northwestern University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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