Cross-laboratory validation of machine learning models for copper nanocluster synthesis using cloud-based automated platforms

Cloud laboratory robotic synthesis of copper nanoclusters combined with ML enables predictive models from just 40 experiments

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Publication Details

Journal
Digital Discovery
Published
2025-01-01
DOI
https://doi.org/10.1039/d5dd00335k
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Cross-laboratory validation of machine learning models for copper nanocluster synthesis using cloud-based automated platforms

R. Huerta, Subha R. Das, Ricardo Montoya-Gonzalez, Martha Leticia Hernández Pichardo
Digital Discovery
Machine Learning in Materials Science
article

Cross-laboratory validation of machine learning models for copper nanocluster synthesis using cloud-based automated platforms

R. Huerta, Subha R. Das, Ricardo Montoya-Gonzalez, Martha Leticia Hernández Pichardo
article en

Abstract

Cloud laboratory robotic synthesis of copper nanoclusters combined with ML enables predictive models from just 40 experiments

Digital DiscoveryVol. 4(12)
Instituto Politécnico Nacional (MX), Carnegie Mellon University (US)
Carnegie Mellon University, Instituto Politécnico Nacional
Openalex Percentile: Top 75%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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