Robotics & Machine Learning Daily News2024,Issue(Jun.12) :57-57.

Researchers from Beijing National Laboratory for Molecular Science Describe Rese arch in Machine Learning (Catalytic Activity of 2-Imino-1,10-phenthrolyl Fe/Co C omplexesvia Linear Machine Learning)

北京分子科学国家实验室的研究人员描述了机器学习的研究(2-Imino-1,10-phenthrolyl Fe/Co复合物的线性机器学习催化活性)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :57-57.

Researchers from Beijing National Laboratory for Molecular Science Describe Rese arch in Machine Learning (Catalytic Activity of 2-Imino-1,10-phenthrolyl Fe/Co C omplexesvia Linear Machine Learning)

北京分子科学国家实验室的研究人员描述了机器学习的研究(2-Imino-1,10-phenthrolyl Fe/Co复合物的线性机器学习催化活性)

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-关于人工智能的最新研究结果已经发表。根据NewsRx编辑在北京的新闻报道,研究表明,"为了预测催化剂结构与性能之间的相关性,通过线性机器学习(ML)算法定量研究了2-imino-1,10-菲罗啉铁和钴金属配合物的催化活性。"

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on artificial intelligence have been published. According to news reporting out of Beijing, People’s Republ ic of China, by NewsRx editors, research stated, “In anticipation of the correla tions between catalyst structures and their properties, the catalytic activities of 2-imino-1,10- phenanthrolyl iron and cobalt metal complexes are quantitatively investigated via linear machine learning (ML) algorithms.”

Key words

Beijing National Laboratory for Molecular Science/Beijing/People's Republic of China/Asia/Algorithms/Cyborgs/Emerg ing Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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