Robotics & Machine Learning Daily News2024,Issue(Jul.24) :72-72.

Tianjin University Reports Findings in Machine Learning [Pred iction and Interpretability Study of the Glass Transition Temperature of Polyimi de Based on Machine Learning with Quantitative Structure- Property Relationship ( Tg-QSPR)]

Robotics & Machine Learning Daily News2024,Issue(Jul.24) :72-72.

Tianjin University Reports Findings in Machine Learning [Pred iction and Interpretability Study of the Glass Transition Temperature of Polyimi de Based on Machine Learning with Quantitative Structure- Property Relationship ( Tg-QSPR)]

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 newsreporting from Tianjin, People’s Republ ic of China, by NewsRx journalists, research stated, “The glasstransition tempe rature () is a crucial characteristic of polyimides (PIs). Developing a predicti ve model usingmachine learning methodologies can facilitate the design of PI st ructures and expedite the developmentprocess.”

Key words

Tianjin/People’s Republic of China/Asi a/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