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
Scanlon T
(2015)
Open-Source Direct Simulation Monte Carlo Chemistry Modeling for Hypersonic Flows
in AIAA Journal
Meng J
(2015)
Numerical Simulation of Rarefied Gas Flows with Specified Heat Flux Boundary Conditions
in Communications in Computational Physics
Li J
(2015)
Lattice Boltzmann Simulations of Thermocapillary Motion of Droplets in Microfluidic Channels
in Communications in Computational Physics
Longshaw S
(2018)
mdFoam+: Advanced molecular dynamics in OpenFOAM
in Computer Physics Communications
White C
(2018)
dsmcFoam+: An OpenFOAM based direct simulation Monte Carlo solver
in Computer Physics Communications
Holland D
(2015)
Enhancing nano-scale computational fluid dynamics with molecular pre-simulations: Unsteady problems and design optimisation
in Computers & Fluids
Palharini R
(2015)
Benchmark numerical simulations of rarefied non-reacting gas flows using an open-source DSMC code
in Computers & Fluids
Docherty S
(2014)
Multiscale simulation of heat transfer in a rarefied gas
in International Journal of Heat and Fluid Flow
Zhang J
(2017)
Multiscale simulation of dynamic wetting
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
| 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 |