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Multilayer machine-learning framework for screening catalytic activity and selectivity
DOI:10.1016/j.checat.2025.101611.png)
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
IF:
11.6
Papers:
1.3K
Citations:
5.6K

