New Machine Learning Study Findings Recently Were Reported by Researchers at Chi nese Academy of Sciences (Theoretical Advances In Understanding and Enhancing th e Thermostability of Energetic Materials)

Robotics & Machine Learning Daily News2024，Issue(Nov.4) ：130-131.

来源：

NETL
NSTL

New Machine Learning Study Findings Recently Were Reported by Researchers at Chi nese Academy of Sciences (Theoretical Advances In Understanding and Enhancing th e Thermostability of Energetic Materials)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Dalian, People’s Republic of Chin a, by NewsRx editors, research stated, “The quest for thermally stable energetic materials is pivotal in advancing the safety of applications ranging from munit ions to aerospace. This perspective delves into the role of theoretical methodol ogies in interpreting and advancing the thermal stability of energetic materials .”

Key words

Dalian/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航