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Multilayer machine-learning framework for screening catalytic activity and selectivity

delete2026-02-18
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PRE
AI
W
Wenjie Liao
A
An Nguyen
刘平 (Ping Liu) *
DOI:10.1016/j.checat.2025.101611delete
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Abstract

Abstract

En 中文
• A data-driven multilayer framework is developed for screening catalytic behaviors • Active and selective Cu-based catalysts for CO2 hydrogenation to methanol are predicted • The framework outperforms conventional machine-learning models
Keywords:
catalytic activity
catalytic selectivity
Cu-based catalysts
CO2 hydrogenation
machine-learning framework

Journal

Chem Catalysis cover
Chem Catalysis
IF:
11.6
Papers:
1.3K
Citations:
5.6K

Organization

S
Stony Brook University
Scholars:
303
Papers: 169
Citations: 0
B
Brookhaven National Laboratory
Scholars:
6.4K
Papers: 4.9K
Citations: 1.9W