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
Borg M
(2017)
Multiscale simulation of enhanced water flow in nanotubes
in MRS Bulletin
Docherty S
(2014)
Multiscale simulation of heat transfer in a rarefied gas
in International Journal of Heat and Fluid Flow
Stephenson D
(2014)
Multiscale simulation of nanofluidic networks of arbitrary complexity
in Microfluidics and Nanofluidics
Wu L
(2016)
Non-equilibrium dynamics of dense gas under tight confinement
in Journal of Fluid Mechanics
Wang W
(2020)
Numerical Simulation of Flow Field and Ion Transport for Different Ion Source Sampling Interfaces of a Mass Spectrometer.
in Journal of the American Society for Mass Spectrometry
Wang W
(2018)
Numerical Simulation of Ion Transport in a Nano-Electrospray Ion Source at Atmospheric Pressure.
in Journal of the American Society for Mass Spectrometry
Meng J
(2015)
Numerical Simulation of Rarefied Gas Flows with Specified Heat Flux Boundary Conditions
in Communications in Computational Physics
Scanlon T
(2015)
Open-Source Direct Simulation Monte Carlo Chemistry Modeling for Hypersonic Flows
in AIAA Journal
Zhang J
(2015)
Wetting and evaporation of salt-water nanodroplets: A molecular dynamics investigation.
in Physical review. E, Statistical, nonlinear, and soft matter physics
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 |