Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(2), P. 112256 - 112256
Published: Feb. 19, 2024
Language: Английский
Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(2), P. 112256 - 112256
Published: Feb. 19, 2024
Language: Английский
Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 451, P. 139045 - 139045
Published: Sept. 5, 2022
Language: Английский
Citations
125Chemical Engineering Journal, Journal Year: 2022, Volume and Issue: 439, P. 135785 - 135785
Published: March 14, 2022
Language: Английский
Citations
90Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 403, P. 136821 - 136821
Published: March 17, 2023
Language: Английский
Citations
90Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 339, P. 126585 - 126585
Published: Feb. 1, 2024
Language: Английский
Citations
44Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(2), P. 112183 - 112183
Published: Feb. 14, 2024
Language: Английский
Citations
26Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 487, P. 150740 - 150740
Published: March 26, 2024
Language: Английский
Citations
19Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 410, P. 125592 - 125592
Published: July 20, 2024
Heavy metals pose a significant threat to ecosystems and human health because of their toxic properties ability bioaccumulate in living organisms. Traditional removal methods often fall short terms cost, energy efficiency, minimizing secondary pollutant generation, especially complex environmental settings. In contrast, molecular simulation offer promising solution by providing in-depth insights into atomic interactions between heavy potential adsorbents. This review highlights the for removing types pollutants science, specifically metals. These powerful tool predicting designing materials processes remediation. We focus on specific like lead, Cadmium, mercury, utilizing cutting-edge techniques such as Molecular Dynamics (MD), Monte Carlo (MC) simulations, Quantum Chemical Calculations (QCC), Artificial Intelligence (AI). By leveraging these methods, we aim develop highly efficient selective unravelling underlying mechanisms, pave way developing more technologies. comprehensive addresses critical gap scientific literature, valuable researchers protection health. modelling hold promise revolutionizing prediction metals, ultimately contributing sustainable solutions cleaner healthier future.
Language: Английский
Citations
18Environmental Research, Journal Year: 2024, Volume and Issue: 247, P. 118227 - 118227
Published: Jan. 21, 2024
Language: Английский
Citations
17Journal of environmental chemical engineering, Journal Year: 2024, Volume and Issue: 12(3), P. 112691 - 112691
Published: April 3, 2024
Language: Английский
Citations
17The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 968, P. 178898 - 178898
Published: Feb. 21, 2025
Language: Английский
Citations
2