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
Wu L
(2017)
A fast iterative scheme for the linearized Boltzmann equation
in Journal of Computational Physics
Wu L
(2015)
A fast spectral method for the Boltzmann equation for monatomic gas mixtures
in Journal of Computational Physics
Borg M
(2015)
A hybrid molecular-continuum method for unsteady compressible multiscale flows
in Journal of Fluid Mechanics
Wu L
(2014)
A kinetic model of the Boltzmann equation for non-vibrating polyatomic gases
in Journal of Fluid Mechanics
Zimon M
(2016)
A novel coupling of noise reduction algorithms for particle flow simulations
in Journal of Computational Physics
Alexiadis A
(2015)
A Particle-Continuum Hybrid Framework for Transport Phenomena and Chemical Reactions in Multicomponent Systems at the Micro and Nanoscale
in Journal of Heat Transfer
Zimon M
(2016)
An evaluation of noise reduction algorithms for particle-based fluid simulations in multi-scale applications
in Journal of Computational Physics
Lockerby D
(2015)
Asynchronous coupling of hybrid models for efficient simulation of multiscale systems
in Journal of Computational Physics
Palharini R
(2015)
Benchmark numerical simulations of rarefied non-reacting gas flows using an open-source DSMC code
in Computers & Fluids
Ho M
(2016)
Comparative study of the Boltzmann and McCormack equations for Couette and Fourier flows of binary gaseous mixtures
in International Journal of Heat and Mass Transfer
Docherty S
(2016)
Coupling heterogeneous continuum-particle fields to simulate non-isothermal microscale gas flows
in International Journal of Heat and Mass Transfer
White C
(2018)
dsmcFoam+: An OpenFOAM based direct simulation Monte Carlo solver
in Computer Physics Communications
Ritos K
(2016)
Electric fields can control the transport of water in carbon nanotubes.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Zhang J
(2016)
Electrowetting Controls the Deposit Patterns of Evaporated Salt Water Nanodroplets.
in Langmuir : the ACS journal of surfaces and colloids
Holland D
(2015)
Enhancing nano-scale computational fluid dynamics with molecular pre-simulations: Unsteady problems and design optimisation
in Computers & Fluids
Wu L
(2015)
Fast spectral solution of the generalized Enskog equation for dense gases
in Journal of Computational Physics
Ritos K
(2015)
Hybrid molecular-continuum simulations of water flow through carbon nanotube membranes of realistic thickness
in Microfluidics and Nanofluidics
Wu L
(2015)
Influence of intermolecular potentials on rarefied gas flows: Fast spectral solutions of the Boltzmann equation
in Physics of Fluids
Babac G
(2014)
Knudsen heat capacity
in Physics of Fluids
Li J
(2015)
Lattice Boltzmann Simulations of Thermocapillary Motion of Droplets in Microfluidic Channels
in Communications in Computational Physics
Ramisetti S
(2017)
Liquid slip over gas nanofilms
in Physical Review Fluids
Longshaw S
(2018)
mdFoam+: Advanced molecular dynamics in OpenFOAM
in Computer Physics Communications
Holland D
(2014)
Molecular dynamics pre-simulations for nanoscale computational fluid dynamics
in Microfluidics and Nanofluidics
Zhang J
(2017)
Multiscale simulation of dynamic wetting
in International Journal of Heat and Mass Transfer
Borg M
(2017)
Multiscale simulation of enhanced water flow in nanotubes
in MRS Bulletin
| 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 |