default author photo

Qing Han

Foshan University

China

SCHOLARLY PAPERS

5

DOWNLOADS

112

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

Interpretable machine learning with closed-loop feedback for optimizing biochar-based antimony(III) adsorption

Number of pages: 34 Posted: 27 Sep 2025
Foshan University, Foshan University, Zhejiang University of Science and Technology, Qufu Normal University, Foshan University, Guangzhou University, Fuyang Normal University, Guangdong Polytechnic of Environmental Protection Engineering, Guangzhou University and Foshan University
Downloads 37 (1,222,651)

Abstract:

Loading...

Nano-biochar, interpretability, heavy metal, Water remediation

2.

Mechanism Insights into Fe-Biochar Aerogel for Enhanced Adsorption of Low-Concentration Sb(Iii): Batch Experiment, Spectroscopic Analysis and Machine Learning Model

Number of pages: 49 Posted: 26 Nov 2024
Foshan University, Foshan University, Foshan University, Shenyang Agricultural University, Zhejiang University of Science and Technology, Shenyang Agricultural University, Shenyang Agricultural University, Foshan University, Hainan University, Foshan University, Foshan University and Foshan University
Downloads 25 (1,399,036)

Abstract:

Loading...

Adsorption, heavy metal, Biochar modification, Reduced graphene oxide, Machine learning

3.

Interpretable Machine Learning with Closed-Loop Feedback for Optimizing Biochar-Based Sb(Iii) Adsorption

Number of pages: 36 Posted: 26 May 2025
Foshan University, Zhejiang University of Science and Technology, Foshan University, Foshan University, Foshan University, Foshan University, Shenyang Agricultural University, Guangzhou University, Fuyang Normal University, Guangdong Polytechnic of Environmental Protection Engineering and Foshan University
Downloads 18 (1,470,786)

Abstract:

Loading...

Machine learning, interpretability, closed-loop feedback, heavy metal

4.

Enhanced Antimony Removal at Environmentally Relevant (μg·L-1) Concentrations by Self-Assembled Fe–Biochar Aerogel from Rice Husk: Adsorption, Machine Learning, and Rice Hydroponic Remediation

Number of pages: 28 Posted: 03 Mar 2026
Foshan University, Foshan University, Foshan University, Foshan University, Guangzhou University, Zhejiang University of Science and Technology, Foshan University, Xiangtan University and Foshan University
Downloads 17 (1,526,714)

Abstract:

Loading...

Rice husk biochar, Antimony remediation, Rice hydroponics, Machine Learning

5.

Interpretable Machine Learning Assisted Optimization of Antimony Adsorption by Metal-Organic Frameworks: Combined with Characterization Methods for Adsorption Mechanism Analysis

Number of pages: 46 Posted: 02 Apr 2025
Foshan University, Foshan University, Zhejiang University of Science and Technology, Shenyang Agricultural University, Foshan University, Fuyang Normal University and Foshan University
Downloads 15 (1,500,778)

Abstract:

Loading...

Challenges, solutions, performance, technologies