Finding the hidden catalytic knowledge from literature data

EES Catalysis 2026 Open access

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Authors: Yuhang Wang, Yong Wang, Hao Li
DOI: 10.1039/d6ey00079g
Cited by: 3
References: 66

Abstract

This perspective shows three data-driven strategies, namely human intelligence, regression, and AI agents, which transform scattered catalytic literature data into novel design criteria, thereby enabling rational catalyst design.

Fields of Study & Subjects

Catalysis and Oxidation Reactions Machine Learning in Materials Science Zeolite Catalysis and Synthesis

Publication details

Journal / source
EES Catalysis
Publisher
Royal Society of Chemistry (RSC)
Volume
4
Issue
4
Pages
837–850
Publication date
1 January 2026
Language
EN