Robotics & Machine Learning Daily News2024,Issue(Apr.19) :34-34.

Shenyang National Laboratory for Materials Science Reports Findings in Machine L earning (Layer-by-layer phase transformation in Ti3O5 revealed by machine-learni ng molecular dynamics simulations)

Robotics & Machine Learning Daily News2024,Issue(Apr.19) :34-34.

Shenyang National Laboratory for Materials Science Reports Findings in Machine L earning (Layer-by-layer phase transformation in Ti3O5 revealed by machine-learni ng molecular dynamics simulations)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Shenyang, People’s Repu blic of China, by NewsRx correspondents, research stated,“Reconstructive phase transitions involving breaking and reconstruction of primary chemical bonds areubiquitous and important for many technological applications. In contrast to dis placive phase transitions,the dynamics of reconstructive phase transitions are usually slow due to the large energy barrier.”

Key words

Shenyang/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Molecular Dynamics/Physics

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