Editorial: Nanofluidics: computational methods and applications
Sofos, Filippos and Ritos, Konstantinos and Avramopoulos, Aggelos (2024) Editorial: Nanofluidics: computational methods and applications. Frontiers in Nanotechnology, 6. 1431198. ISSN 2673-3013 (https://doi.org/10.3389/fnano.2024.1431198)
Preview |
Text.
Filename: Sofos-etal-FN-2024-Nanofluidics-computational-methods-and-applications.pdf
Final Published Version License: Download (542kB)| Preview |
Abstract
This Research Topic from Frontiers in Nanotechnology, “Nanofluidics: Computational Methods and Applications”, presents computational, analytical, simulation and experimental techniques aimed at advancing our understanding of nanofluidic phenomena and paving the way for novel applications that can play a leading role in today’s technology. With a Research Topic of four studies, the reader will find i) an interesting paper presenting the novel use of single-layer MoS2 nanopores as sensors for the identification of biomarkers, ii) a seminal paper using various machine learning and deep learning methods to reproduce particle trajectories from molecular dynamics simulations taking into account physical laws, iii) a new paper investigating the mechanisms of heat transfer in a vertical double-passage channel with a permeable fluid and, iv) a significant study on the quantification of hydrophobicity in nanoparticle systems with environmental considerations.
ORCID iDs
Sofos, Filippos, Ritos, Konstantinos ORCID: https://orcid.org/0000-0001-6334-6680 and Avramopoulos, Aggelos;-
-
Item type: Article ID code: 89797 Dates: DateEvent13 June 2024Published30 May 2024Accepted11 May 2024SubmittedSubjects: Science > Physics Department: Faculty of Engineering > Mechanical and Aerospace Engineering Depositing user: Pure Administrator Date deposited: 01 Jul 2024 15:04 Last modified: 27 Nov 2024 01:25 URI: https://strathprints.strath.ac.uk/id/eprint/89797