The First Open-Source Software for Non-Continuum Flows in Engineering
Lead Research Organisation:
University of Edinburgh
Department Name: Sch of Engineering
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
Jason Reese (Principal Investigator) |
Publications
Holland D
(2014)
Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
in Microfluidics and Nanofluidics
Longshaw S
(2018)
mdFoam+: Advanced molecular dynamics in OpenFOAM
in Computer Physics Communications
Ramisetti S
(2017)
Liquid slip over gas nanofilms
in Physical Review Fluids
Li J
(2015)
Lattice Boltzmann Simulations of Thermocapillary Motion of Droplets in Microfluidic Channels
in Communications in Computational Physics
Babac G
(2014)
Knudsen heat capacity
in Physics of Fluids
Wu L
(2015)
Influence of intermolecular potentials on rarefied gas flows: Fast spectral solutions of the Boltzmann equation
in Physics of Fluids
Ritos K
(2015)
Hybrid molecular-continuum simulations of water flow through carbon nanotube membranes of realistic thickness
in Microfluidics and Nanofluidics
Wu L
(2015)
Fast spectral solution of the generalized Enskog equation for dense gases
in Journal of Computational Physics
Holland D
(2015)
Enhancing nano-scale computational fluid dynamics with molecular pre-simulations: Unsteady problems and design optimisation
in Computers & Fluids
Zhang J
(2016)
Electrowetting Controls the Deposit Patterns of Evaporated Salt Water Nanodroplets.
in Langmuir : the ACS journal of surfaces and colloids
Title | Multiscale Simulation of Enhanced Flow in Nanotubes of Different Materials |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2016 |
Provided To Others? | Yes |
Title | Supporting data for "Electric fields can control the transport of water in carbon nanotubes" |
Description | Raw data files produced from Molecular Dynamics simulations. These data have been used to produce all figures and outcomes in the publication. README file list all the files in the compressed file and also explains the meaning of the path name. |
Type Of Material | Database/Collection of data |
Year Produced | 2015 |
Provided To Others? | Yes |