Machine learning-aided catalyst screening and multi-objective optimization for the indirect CO<sub>2</sub> hydrogenation to methanol and ethylene glycol process-Reference-Cited by-同舟云学术

Machine learning-aided catalyst screening and multi-objective optimization for the indirect CO₂ hydrogenation to methanol and ethylene glycol process

Author:

Yang Qingchun¹²^ORCID,Fan Yingjie¹,Zhou Jianlong¹,Zhao Lei¹,Dong Yichun¹,Yu Jianhua³,Zhang Dawei¹

Affiliation:

1. School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, 230009, PR China

2. Anhui HaoYuan Chemical Group Co., Ltd, Fuyang, 236023, PR China

3. State Grid Anhui Electric Power Co., Ltd, Guangde Power Supply Company, Guangde, 242200, PR China

Abstract

A proposed machine learning-aided framework for screening and multi-objective optimization of catalysts for an indirect CO2 hydrogenation process.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Pollution,Environmental Chemistry

Link

Reference38 articles.

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