Machine learning-enabled technologies for the removal of per- and polyfluoroalkyl substances from water

Authors

Yuanzheng Zhang (ORCID: https://orcid.org/0000-0002-7584-5695)
Junfeng Niu (ORCID: https://orcid.org/0000-0003-2592-3103)
Changhui Song (ORCID: https://orcid.org/0000-0001-6225-7627)
Meng-Xin Bai

Publication Details

Journal: Scientia Sinica Chimica
Published: 2025-09-25
DOI: https://doi.org/10.1360/ssc-2025-0195
Primary Topic: Per- and polyfluoroalkyl substances research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Machine learning-enabled technologies for the removal of per- and polyfluoroalkyl substances from water

Yuanzheng Zhang, Junfeng Niu, Changhui Song, Meng-Xin Bai

Sep 25, 2025

Scientia Sinica Chimica

Per- and polyfluoroalkyl substances research

article

Machine learning-enabled technologies for the removal of per- and polyfluoroalkyl substances from water

Yuanzheng Zhang, Junfeng Niu, Changhui Song, Meng-Xin Bai

September 25, 2025article en

Abstract

No abstract available for this paper.

Scientia Sinica ChimicaVol. 55(11)

Openalex Percentile: Top 78%

Per- and polyfluoroalkyl substances research

DOI Open Access PDF OpenAlex

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Machine learning-enabled technologies for the removal of per- and polyfluoroalkyl substances from water — Yuanzheng Zhang, Junfeng Niu, et al. · Scientia Sinica Chimica (2025) | TGRS Research Map | TGRS