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Modeling, optimization and understanding of adsorption process for pollutant removal via machine learning: Recent progress and future perspectives
W Zhang, W Huang, J Tan, D Huang, J Ma, B Wu - Chemosphere, 2023 - Elsevier
It is crucial to reduce the concentration of pollutants in water environment to below safe
levels. Some cost-effective pollutant removal technologies have been developed, among …
levels. Some cost-effective pollutant removal technologies have been developed, among …
Navigating the molecular landscape of environmental science and heavy metal removal: A simulation-based approach
Heavy metals pose a significant threat to ecosystems and human health because of their
toxic properties and their ability to bioaccumulate in living organisms. Traditional removal …
toxic properties and their ability to bioaccumulate in living organisms. Traditional removal …
Machine learning-assisted screening of metal-organic frameworks (MOFs) for the removal of heavy metals in aqueous solution
L Yuan, M Xu, Y Zhang, Z Gao, L Zhang… - Separation and …, 2024 - Elsevier
Develo** heavy metal adsorbents with high efficiency is imperative for advanced
wastewater treatment. So far, the design of adsorbents has primarily relied on the …
wastewater treatment. So far, the design of adsorbents has primarily relied on the …
[KİTAP][B] Biochar and application of machine learning: a review
This study discusses biochar and machine learning application. Concept of biochar,
machine learning and different machine learning algorithms used for predicting adsorption …
machine learning and different machine learning algorithms used for predicting adsorption …
Review of adsorption studies for contaminant removal from wastewater using molecular simulation
In recent years, simulation studies have emerged as valuable tools for understanding
processes. In particular, molecular dynamic simulations hold great significance when it …
processes. In particular, molecular dynamic simulations hold great significance when it …
Towards estimation and mechanism of CO2 adsorption on zeolite adsorbents using molecular simulations and machine learning
The earth's average temperature is being elevated owing to burning of fossil fuels, explicitly
releasing enormous amounts of CO 2 into the atmosphere. Therefore, effective collection …
releasing enormous amounts of CO 2 into the atmosphere. Therefore, effective collection …
Alkali-modified halloysite for enhanced cadmium/lead vapor capture: Focus on silicic surface via experimental and computational investigations
T He, B ** - Chemical Engineering Journal, 2023 - Elsevier
We attempted to activate the Si surface of Halloysite (Hal) to enhance its adsorption capacity
for heavy metal (HM, CdCl 2/PbCl 2) vapors through thermal-alkali modification. A …
for heavy metal (HM, CdCl 2/PbCl 2) vapors through thermal-alkali modification. A …
[HTML][HTML] Based on machine learning model for prediction of CO2 adsorption of synthetic zeolite in two-step solid waste treatment
The rising environmental issues caused by carbon dioxide emissions and accumulation of
industrial solid waste accelerate the development of carbon capture utilization and storage …
industrial solid waste accelerate the development of carbon capture utilization and storage …
Separation of CH4/N2 gas mixture using MFI zeolite nanosheet: Insights from molecular dynamics simulation
The performance of the MFI zeolite membrane for the separation of the CH 4/N 2 gas
mixtures was investigated in this research. The studied systems comprised MFI zeolite …
mixtures was investigated in this research. The studied systems comprised MFI zeolite …
Application of South African heulandite (HEU) zeolite for the adsorption and removal of Pb2+ and Cd2+ ions from aqueous water solution: Experimental and …
Abstract The capacity of South African Heulandite (HEU) zeolite to remove Pb 2+ and Cd 2+
ions from aqueous solution was investigated using batch experiments and molecular …
ions from aqueous solution was investigated using batch experiments and molecular …