Subtraction Descriptors in Machine Learning for Optimizing the Cocatalyst Effect of Cobalt Phosphate on Hematite Photoanodes-Reference-Cited by-同舟云学术

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Subtraction Descriptors in Machine Learning for Optimizing the Cocatalyst Effect of Cobalt Phosphate on Hematite Photoanodes

Published:2024-06-20 Issue:26 Volume:16 Page:33611-33619
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Chen Siyan¹,Nagai Yuya¹,Pan Zhenhua¹^ORCID,Katayama Kenji¹^ORCID

Affiliation:

1. Department of Applied Chemistry, Chuo University, Tokyo 112-8551, Japan

Funder

Japan Society for the Promotion of Science

Iketani Science and Technology Foundation

Institute of Science and Engineering, Chuo University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c06220

Reference37 articles.

1. Fast and Accurate Molecular Property Prediction: Learning Atomic Interactions and Potentials with Neural Networks

2. Machine learning for autonomous crystal structure identification

3. Machine learning for molecular and materials science

4. Experimental design for the highly accurate prediction of material properties using descriptors obtained by measurement

5. Design of Experimental Conditions with Machine Learning for Collaborative Organic Synthesis Reactions Using Transition-Metal Catalysts

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