首页|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)
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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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.”
EvanstonIllinoisUnited StatesNorth and Central AmericaAnionsChalcogensCyborgsEmerging TechnologiesMachine LearningOxidesOxygen CompoundsNorthwestern University
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