From Characterization to Discovery: ...
Document type :
Article dans une revue scientifique: Article de synthèse/Review paper
DOI :
Permalink :
Title :
From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
Author(s) :
Benavides-Hernández, J. [Auteur]
Dumeignil, Franck [Auteur]
Unité de Catalyse et Chimie du Solide (UCCS) - UMR 8181
Dumeignil, Franck [Auteur]
Unité de Catalyse et Chimie du Solide (UCCS) - UMR 8181
Journal title :
ACS Catal.
Abbreviated title :
ACS Catal.
Pages :
-
Publication date :
2024-11-18
ISSN :
2155-5435
English keyword(s) :
artificial intelligence
machine learning
high-throughput experimentation
heterogeneous catalysts
catalyst design
deep learning
optimization
high-throughput screening
machine learning
high-throughput experimentation
heterogeneous catalysts
catalyst design
deep learning
optimization
high-throughput screening
Language :
Anglais
Administrative institution(s) :
Université de Lille
CNRS
Centrale Lille
ENSCL
Univ. Artois
CNRS
Centrale Lille
ENSCL
Univ. Artois
Collections :
Submission date :
2024-11-20T22:03:55Z