Machine learning-guided design principles for single-atom catalysts in persulfate-based advanced oxidation processes

Journal of Materials Chemistry A 2026

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Authors: Zijun Kong, Huayue Kang, Shibo Gao, Meng Du, Hongda Zhang, Yidi Chen, Nanqi Ren
DOI: 10.1039/d6ta03640f
Cited by: 1
References: 193

Abstract

This review highlights a closed-loop ML workflow for SAC design in PS-AOPs, integrating descriptors, prediction, validation, and feedback optimization for wastewater treatment.

Fields of Study & Subjects

Advanced oxidation water treatment Electrocatalysts for Energy Conversion Machine Learning in Materials Science

Publication details

Journal / source
Journal of Materials Chemistry A
Publisher
Royal Society of Chemistry (RSC)
Volume
14
Issue
52
Pages
35377–35403
Publication date
1 January 2026
Language
EN