A robust methodology for PEC performance analysis of photoanodes using machine learning and analytical data-Reference-Cited by-同舟云学术

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A robust methodology for PEC performance analysis of photoanodes using machine learning and analytical data

Published:2024 Issue:16 Volume:149 Page:4193-4207
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Tajima Moeko¹,Nagai Yuya¹,Chen Siyan¹,Pan Zhenhua¹^ORCID,Katayama Kenji¹^ORCID

Affiliation:

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

Abstract

Robust machine learning scheme using analytical data to improve photoanode performance.

Funder

Chuo University

Japan Society for the Promotion of Science

Iketani Science and Technology Foundation

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AN/D4AN00439F

Reference69 articles.

1. Deep Learning in Chemistry

2. Deep learning for chemical reaction prediction

3. Deep learning for molecular design—a review of the state of the art

4. Recent advances and applications of machine learning in solid-state materials science

5. Accelerated Discovery of Novel Inorganic Materials with Desired Properties Using Active Learning

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