Machine learning-driven prediction of phosphorus removal performance of metal-modified biochar and optimization of preparation processes considering water quality management objectives-Reference-Cited by-同舟云学术

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Machine learning-driven prediction of phosphorus removal performance of metal-modified biochar and optimization of preparation processes considering water quality management objectives

Published:2024-07 Issue: Volume:403 Page:130861
ISSN:0960-8524
Container-title:Bioresource Technology
language:en
Short-container-title:Bioresource Technology

Author:

Fu Weilin,Feng Menghan,Guo Changbin,Zhou Jien,Zhang Xueyan,Lv Shiyu,Huo Yingqiu,Wang Feng^ORCID

Publisher

Elsevier BV

Reference45 articles.

1. A state of the art review on phosphate removal from water by biochars;Almanassra;Chem. Eng. J.,2021

2. Tensile strength statistics of high-performance mono- and multifilament polymeric materials: On the validity of normality;Boiko;Polymers,2023

3. Enhanced adsorption of phosphate on orange peel-based biochar activated by Ca/Zn composite: Adsorption efficiency and mechanisms;Chen;Colloid. Surface. A,2022

4. Efficient removal of phosphate from aqueous media using magnetic bimetallic lanthanum-iron-modified sulfonylmethylated lignin biochar;Cui;Int. J. Biol. Macromol.,2023

5. Use of inverse modelling and Bayesian optimization for investigating the effect of biochar on soil hydrological properties;Dokoohaki;Agr. Water Manage.,2018

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1. Machine learning-driven QSAR models for predicting the cytotoxicity of five common microplastics;Toxicology;2024-11

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