Effect of channel roughness on the particle diffusion and permeability of carbon nanotubes in reverse electrodialysis process applying molecular dynamics simulation
dc.authorscopusid | 59391729400 | |
dc.authorscopusid | 59375113300 | |
dc.authorscopusid | 59391055200 | |
dc.authorscopusid | 57476741800 | |
dc.authorscopusid | 23028598900 | |
dc.authorscopusid | 59364264400 | |
dc.contributor.author | Li, Y. | |
dc.contributor.author | Ali, A.B.M. | |
dc.contributor.author | Tapia, N.E.F. | |
dc.contributor.author | Kamolova, N. | |
dc.contributor.author | Salahshour, S. | |
dc.contributor.author | Sabetvand, R. | |
dc.date.accessioned | 2024-11-15T19:39:58Z | |
dc.date.available | 2024-11-15T19:39:58Z | |
dc.date.issued | 2025 | |
dc.department | Okan University | en_US |
dc.department-temp | Li Y., School of Intelligent Manufacturing, Luohe Food Engineering Vocational University, Henan, Luohe, 462300, China; Ali A.B.M., Air Conditioning Engineering Department, College of Engineering, University of Warith Al-Anbiyaa, Karbala, Iraq; Tapia N.E.F., Research and Development Directorate, Faculty of Sciences, Food and Biotechnology, Technical University of Ambato, Ambato, Ecuador; Kamolova N., Department of Chemistry and Its Teaching Methods, Tashkent State Pedagogical University, Tashkent, Uzbekistan; Salahshour S., Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey, Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey, Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon; Sabetvand R., Department of Energy Engineering and Physics, Faculty of Condensed Matter Physics, Amirkabir University of Technology, Tehran, Iran | en_US |
dc.description.abstract | Innovative technology and methods are crucial for making pure and refreshing water. Two main methods are present to delete soluble salts from water: membrane processes and thermal processes. A beneficial membrane technique is reverse electrodialysis. This research used molecular dynamics (MD) simulation to investigate how channel roughness affected particle diffusion and permeability in carbon nanotubes (CNTs) via the reverse electrodialysis process. The results indicate that adding roughness in the CNT duct increased the force between the primary fluid and the duct. Using an armchair-edged CNT structure maximized the electric current in the sample. Furthermore, the roughness increased the intensity of force in the channel, which was due to gravity, leading to a decrease in the mobility of fluid particles. Additionally, several broken hydrogen bonds inside the simulation box increased from 116 to 128 in the duct sample with roughness. © 2024 Elsevier Inc. | en_US |
dc.identifier.citation | 0 | |
dc.identifier.doi | 10.1016/j.jmgm.2024.108899 | |
dc.identifier.issn | 1093-3263 | |
dc.identifier.scopus | 2-s2.0-85207916830 | |
dc.identifier.scopusquality | Q2 | |
dc.identifier.uri | https://doi.org/10.1016/j.jmgm.2024.108899 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14517/7029 | |
dc.identifier.volume | 134 | en_US |
dc.institutionauthor | Salahshour, Soheıl | |
dc.language.iso | en | |
dc.publisher | Elsevier Inc. | en_US |
dc.relation.ispartof | Journal of Molecular Graphics and Modelling | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Carbon nanotube | en_US |
dc.subject | Channel geometry | en_US |
dc.subject | Channel roughness | en_US |
dc.subject | Electrodialysis | en_US |
dc.subject | Molecular dynamics simulation | en_US |
dc.subject | Reverse electrodialysis | en_US |
dc.title | Effect of channel roughness on the particle diffusion and permeability of carbon nanotubes in reverse electrodialysis process applying molecular dynamics simulation | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | f5ba517c-75fb-4260-af62-01c5f5912f3d | |
relation.isAuthorOfPublication.latestForDiscovery | f5ba517c-75fb-4260-af62-01c5f5912f3d |