Robotics & Machine Learning Daily News2024,Issue(Mar.14) :15-16.

New Machine Learning Study Results from Zhejiang University Described (Predictin g Sulfide Precipitation In Magma Oceans On Earth, Mars and the Moon Using Machin e Learning)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :15-16.

New Machine Learning Study Results from Zhejiang University Described (Predictin g Sulfide Precipitation In Magma Oceans On Earth, Mars and the Moon Using Machin e Learning)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Hangzhou, People’s Re public of China, by NewsRx editors, research stated, “The sulfur content at sulf ide saturation (SCSS) of a silicate melt can regulate the stability of sulfides and, therefore, chalcophile elements’ behaviors in planetary magma oceans. Many studies have reported high-pressure experiments to determine SCSS using either l inear or exponential regressions to parameterize the thermodynamics of the syste m.” Financial supporters for this research include Fundamental Research Funds for th e Central Universities, National Natural Science Foundation of China (NSFC).

Key words

Hangzhou/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Zhejiang University

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