The new fate of MCLR revealed by dialysis equilibrium and theoretical calculations: Influence from DOM and Fe(II)/Mn(II) DOI

Haishuo Wang,

Jie Zhang, Zhichun Li

и другие.

Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(6), С. 114671 - 114671

Опубликована: Ноя. 4, 2024

Язык: Английский

Influence of multivalent background ions competition adsorption on the adsorption behavior of azo dye molecules and removal mechanism: Based on machine learning, DFT and experiments DOI

Chen Zhao,

Wenjun Zhang, Yuxing Zhang

и другие.

Separation and Purification Technology, Год журнала: 2024, Номер 341, С. 126810 - 126810

Опубликована: Фев. 19, 2024

Язык: Английский

Процитировано

13

Tuned porous MOFs & COFs for arsenic removal- advanced water remediation approach DOI
Brij Mohan

Desalination, Год журнала: 2024, Номер 592, С. 118075 - 118075

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

13

Optimization and prediction of dye adsorption utilising cross-linked chitosan-activated charcoal: Response Surface Methodology and machine learning DOI
Arun Kumar Shukla, Javed Alam,

Santanu Mallik

и другие.

Journal of Molecular Liquids, Год журнала: 2024, Номер 411, С. 125745 - 125745

Опубликована: Авг. 11, 2024

Язык: Английский

Процитировано

9

Biopolymer‑carbonaceous composites, progress, and adsorptive mitigation of water pollutants DOI

Ibrahim Khan,

Nisar Ali, Yan Jin

и другие.

International Journal of Biological Macromolecules, Год журнала: 2024, Номер 274, С. 133379 - 133379

Опубликована: Июнь 25, 2024

Язык: Английский

Процитировано

8

Research on environmental aspects of retention/release of pollutants in soils and sorbents. What should be next? DOI Creative Commons
Avelino Núñez‐Delgado

Environmental Research, Год журнала: 2024, Номер 251, С. 118593 - 118593

Опубликована: Март 4, 2024

Although studies dealing with adsorption/desorption (and/or retention/release) of pollutants present in environmental compartments is a classical field research, recent papers are focusing on some weak points investigations and publications within the area. In addition, an increasing number works being published related to new possibilities alternatives this kind research works, many them relation use artificial intelligence (AI). Considering existence eventual controversies, mistakes, convenience suggesting go ahead future, work, after taking into account relevant previous literature, simple workflow proposed as protocol revise successive steps that could guide direction follow when programing retention/release soils sorbent materials.

Язык: Английский

Процитировано

7

The role of cationic bridges in enhancing sulfamethoxazole adsorption onto montmorillonite DOI Creative Commons

Qian-qian Guan,

Shu Xiao, Wensheng Wu

и другие.

Environmental Geochemistry and Health, Год журнала: 2025, Номер 47(2)

Опубликована: Янв. 20, 2025

Язык: Английский

Процитировано

0

Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector − a review DOI Creative Commons
Banza Jean Claude, Linda L. Sibali

Journal of Environmental Science and Health Part A, Год журнала: 2025, Номер unknown, С. 1 - 16

Опубликована: Фев. 2, 2025

There are several uses for biomass-derived materials (BDMs) in the irrigation and farming industries. To solve problems with material, process, supply chain design, BDM systems have started to use machine learning (ML), a new technique approach. This study examined articles published since 2015 understand better current status, future possibilities, capabilities of ML supporting environmentally friendly development applications. Previous applications were classified into three categories according their objectives: material process performance prediction sustainability evaluation. helps optimize BDMs systems, predict properties performance, reverse engineering, data difficulties evaluations. Ensemble models cutting-edge Neural Networks operate satisfactorily on these datasets easily generalized. neural network poor interpretability, there not been any studies assessment that consider geo-temporal dynamics; thus, building methods is currently practical. Future research should follow workflow. Investigating potential system optimization, evaluation sustainable requires further investigation.

Язык: Английский

Процитировано

0

Enhanced fluoride removal by modified water hyacinth: response surface methodology and machine learning approach DOI
Jagadish H. Patil, Raviraj Kusanur, Poornima G. Hiremath

и другие.

Biomass Conversion and Biorefinery, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Язык: Английский

Процитировано

0

Constructing binuclear sites to modulate the charge distribution of MIL-101 for enhanced toluene adsorption performance: experimental and theoretical studies DOI

Jiawei Cao,

Yunxia Li, Xiubiao Ma

и другие.

Separation and Purification Technology, Год журнала: 2024, Номер 354, С. 129400 - 129400

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

3

Effect of small-molecule organic matter on methane adsorption in anthracite DOI Creative Commons
Dameng Gao, Jiawei Liang, Hong Lin

и другие.

Journal of Saudi Chemical Society, Год журнала: 2024, Номер 28(6), С. 101930 - 101930

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

1