Robotics & Machine Learning Daily News2024,Issue(Jun.18) :38-39.

New Machine Learning Findings from Guangdong University of Technology Described (Machine Learning and Dft Coupling: a Powerful Approach To Explore Organic Amine Catalysts for Ringopening Polymerization Reaction)

描述了广东工业大学机器学习的新发现(机器学习和Dft耦合:探索开环聚合反应有机胺催化剂的有力方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :38-39.

New Machine Learning Findings from Guangdong University of Technology Described (Machine Learning and Dft Coupling: a Powerful Approach To Explore Organic Amine Catalysts for Ringopening Polymerization Reaction)

描述了广东工业大学机器学习的新发现(机器学习和Dft耦合:探索开环聚合反应有机胺催化剂的有力方法)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在可以获得。据新华社广东新闻报道,“最近,利用已知数据驱动特定反应催化剂的化学特性已成为催化科学的一种普遍方法。胺作为必需化合物在生物、医药、农业和各种化学反应中发挥着重要作用。”本研究的资金来源包括国家自然科学基金(NSFC)、吉林大学无机合成国家重点实验室开放项目、广东基础与应用基础研究基金。

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 from Guangdong, People's Republic of Chi na, by NewsRx journalists, research stated, "Recently, using well-known data to drive the chemical feature of catalysts for the specified reaction has emerged a s a prevalent approach in catalysis science. Amines as essential compounds play crucial roles in living organisms, pharmaceutical, agricultural applications, an d various chemical reactions." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Open Project of State Key Labo- ratory of Inorganic Synthesi s and Preparation of Jilin University, Guangdong Basic and Applied Basic Researc h Foundation.

Key words

Guangdong/People's Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Guangdong University of T echnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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