Machine-learning-driven discovery of metal–organic framework adsorbents for hexavalent chromium removal from aqueous environments
M Jiang, W Fu, Y Wang, D Xu, S Wang - Journal of Colloid and Interface …, 2024 - Elsevier
Abstract Hypothesis Metal-organic frameworks (MOFs) have been widely studied for Cr (VI)
adsorption in water. Theoretically, numerous MOFs can be synthesised by assembling …
adsorption in water. Theoretically, numerous MOFs can be synthesised by assembling …
Application of machine learning in prediction of Pb2+ adsorption of biochar prepared by tube furnace and fluidized bed
Data mining by machine learning (ML) has recently come into application in heavy metals
purification from wastewater, especially in exploring lead removal by biochar that prepared …
purification from wastewater, especially in exploring lead removal by biochar that prepared …
Magnesium source with function of slowly releasing Mg and pH control for impurity-resistance synthesis ultra-large struvite from wastewater
T Zhou, N Xu, G Chen, M Zhang, T Ji, X Feng… - Science of The Total …, 2024 - Elsevier
Abstract Struvite (MgNH 4 PO 4· 6H 2 O, Magnesium ammonium phosphate, MAP),
recovered from wastewater, has potential application as a slow-release fertilizer. However …
recovered from wastewater, has potential application as a slow-release fertilizer. However …
Role of natural coagulants in the removal of heavy metals from different wastewaters: principal mechanisms, applications, challenges, and prospects
Industrial wastewater has become a great concern due to high concentrations of several
hazardous contaminants, particularly heavy metals. Heavy metal contamination and its …
hazardous contaminants, particularly heavy metals. Heavy metal contamination and its …
A Multi-Dimensional Investigation on Water Quality of Urban Rivers with Emphasis on Implications for the Optimization of Monitoring Strategy
X Ji, J Chen, Y Guo - Sustainability, 2022 - mdpi.com
Water quality monitoring (WQM) of urban rivers has been a reliable method to supervise the
urban water environment. Indiscriminate WQM strategies can hardly emphasize the …
urban water environment. Indiscriminate WQM strategies can hardly emphasize the …
Non-Linear Regression Model for Estimating the Efficiency of Heavy Metals Removal by Soil Washing with Chitosan Solution
The process of heavy metals removal by soil washing using chitosan as washing agent is a
multivariate problem. According to the experimental data sets obtained during experiments …
multivariate problem. According to the experimental data sets obtained during experiments …