From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design

This review paper delves into synergistic integration of artificial intelligence (AI) and machine learning (ML) with high-throughput experimentation (HTE) in the field of heterogeneous catalysis, presenting a broad spectrum of contemporary methodologies and innovations. We methodically segmented the...

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Veröffentlicht in:	ACS catalysis 2024-08, Vol.14 (15), p.11749-11779
Hauptverfasser:	Benavides-Hernández, Jorge, Dumeignil, Franck
Format:	Artikel
Sprache:	eng
Schlagworte:	Catalysis Chemical Sciences
Online-Zugang:	Volltext
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