Robotics & Machine Learning Daily News2024,Issue(Jul.12) :39-39.

Tsinghua University Reports Findings in Artificial Intelligence (Universal mater ials model of deep-learning density functional theory Hamiltonian)

Robotics & Machine Learning Daily News2024,Issue(Jul.12) :39-39.

Tsinghua University Reports Findings in Artificial Intelligence (Universal mater ials model of deep-learning density functional theory Hamiltonian)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Beijing, People ’s Republic of China, by NewsRx editors, research stated, “Realizing largemater ials models has emerged as a critical endeavor for materials research in the new era of artificialintelligence, but how to achieve this fantastic and challengi ng objective remains elusive. Here, we proposea feasible pathway to address thi s paramount pursuit by developing universal materials models ofdeep-learning de nsity functional theory Hamiltonian (DeepH), enabling computational modeling of thecomplicated structure-property relationship of materials in general.”

Key words

Beijing/People’s Republic of China/Asi a/Artificial Intelligence/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