Robotics & Machine Learning Daily News2024,Issue(Dec.27) :93-94.

University of Pittsburgh Reports Findings in Machine Learning (Overcoming Inaccu racies in Machine Learning Interatomic Potential Implementation for Ionic Vacanc y Simulations)

Robotics & Machine Learning Daily News2024,Issue(Dec.27) :93-94.

University of Pittsburgh Reports Findings in Machine Learning (Overcoming Inaccu racies in Machine Learning Interatomic Potential Implementation for Ionic Vacanc y Simulations)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to news reportingout of Pittsburgh, Pennsylvan ia, by NewsRx editors, research stated, “Machine learning interatomicpotentials , particularly ones based on deep neural networks, have taken significant stride s in acceleratingfirst-principles simulations, expanding the length and time sc ales of the simulations with accuracies akin tofirst-principles simulations. No twithstanding their success in accurately describing the physical propertiesof pristine ionic systems with multiple oxidation states, herein we show that an im plementation of deepneural network potentials (DNPs) yield vacancy formation en ergies in MgO with a significant 3 eV error.”

Key words

Pittsburgh/Pennsylvania/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文