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
Ritos K
(2016)
Electric fields can control the transport of water in carbon nanotubes.
in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Zimon M
(2016)
A novel coupling of noise reduction algorithms for particle flow simulations
in Journal of Computational Physics
Zhang J
(2016)
Electrowetting Controls the Deposit Patterns of Evaporated Salt Water Nanodroplets.
in Langmuir : the ACS journal of surfaces and colloids
Docherty S
(2016)
Coupling heterogeneous continuum-particle fields to simulate non-isothermal microscale gas flows
in International Journal of Heat and Mass Transfer
Zimon M
(2016)
An evaluation of noise reduction algorithms for particle-based fluid simulations in multi-scale applications
in Journal of Computational Physics
Wu L
(2016)
Non-equilibrium dynamics of dense gas under tight confinement
in Journal of Fluid Mechanics
Ramisetti S
(2017)
Liquid slip over gas nanofilms
in Physical Review Fluids
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
Wu L
(2017)
A fast iterative scheme for the linearized Boltzmann equation
in Journal of Computational 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 |