High-throughput screening of bimetallic catalysts enabled by machine learning-Reference-Cited by-同舟云学术

High-throughput screening of bimetallic catalysts enabled by machine learning

Author:

Li Zheng¹²³⁴,Wang Siwen¹²³⁴^ORCID,Chin Wei Shan¹²³⁴,Achenie Luke E.¹²³⁴,Xin Hongliang¹²³⁴^ORCID

Affiliation:

1. Department of Chemical Engineering

2. Virginia Tech

3. Blacksburg

4. USA

Abstract

We present a holistic machine-learning framework for rapid screening of bimetallic catalysts with the aid of the descriptor-based kinetic analysis.

Funder

Division of Chemical, Bioengineering, Environmental, and Transport Systems

American Chemical Society Petroleum Research Fund

Institute for Critical Technology and Applied Science

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

Reference62 articles.

1. I. Chorkendorff and J. W.Niemantsverdriet , Concepts of Modern Catalysis and Kinetics , Wiley-VCH , Weinheim , 2nd edn, 2007

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