Artificial-intelligence-enabled catalysis via standardized batch data

IF 11.6 Q1 CHEMISTRY, PHYSICAL

Chem Catalysis Pub Date : 2025-08-13 DOI:10.1016/j.checat.2025.101491

Jiaolong Meng, Xuefeng Jiang

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引用次数: 0

Abstract

Jiaolong Meng received his PhD in organic chemistry from East China Normal University in 2024 and continued his research there as a postdoctoral fellow under the supervision of Prof. Xuefeng Jiang. His research focuses on the application of artificial intelligence (AI) in chemistry and on strategies for plastic degradation. Xuefeng Jiang is a professor at East China Normal University. He earned his PhD in 2008 from the Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, under the supervision of Prof. Shengming Ma. From 2008 to 2011, he was a postdoctoral fellow, supervised by Prof. K.C. Nicolaou, at the Scripps Research Institute. His current research interests include organosulfur chemistry, AI in chemistry, and plastic degradation.

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通过标准化批量数据实现人工智能催化

下载：下载高清图片（291KB）下载：下载全尺寸图片（389KB）下载：下载全尺寸图片(2024年获得华东师范大学有机化学专业博士学位，师从蒋雪峰教授，在华东师范大学从事博士后研究。他的研究重点是人工智能（AI）在化学中的应用和塑料降解策略。蒋雪峰，华东师范大学教授。2008年毕业于中国科学院上海有机化学研究所，师从马胜明教授，获博士学位。2008年至2011年，他在斯克里普斯研究所担任博士后研究员，导师是K.C. Nicolaou教授。他目前的研究兴趣包括有机硫化学、化学中的人工智能和塑料降解。

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来源期刊

Chem Catalysis

CiteScore

10.50

自引率

6.40%

发文量

期刊介绍： Chem Catalysis is a monthly journal that publishes innovative research on fundamental and applied catalysis, providing a platform for researchers across chemistry, chemical engineering, and related fields. It serves as a premier resource for scientists and engineers in academia and industry, covering heterogeneous, homogeneous, and biocatalysis. Emphasizing transformative methods and technologies, the journal aims to advance understanding, introduce novel catalysts, and connect fundamental insights to real-world applications for societal benefit.