SysGenX: Composable software generation for system-level simulation at Exascale
Lead Research Organisation:
University of Oxford
Department Name: Mathematical Institute
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 |
| Patrick Farrell (Principal Investigator) |
Publications
Abu-Labdeh R
(2023)
Monolithic multigrid for implicit Runge-Kutta discretizations of incompressible fluid flow
in Journal of Computational Physics
Aznaran F
(2022)
Finite element methods for multicomponent convection-diffusion
Aznaran F
(2024)
Finite element methods for multicomponent convection-diffusion
in IMA Journal of Numerical Analysis
Aznaran F
(2023)
Transformations for Piola-mapped elements
in The SMAI Journal of computational mathematics
Betteridge J
(2024)
ngsPETSc: A coupling between NETGEN/NGSolve and PETSc
in Journal of Open Source Software
Boullé N
(2022)
Bifurcation analysis of two-dimensional Rayleigh-Bénard convection using deflation.
in Physical review. E
Boullé N
(2023)
Optimization of Hopf Bifurcation Points
in SIAM Journal on Scientific Computing
Boullé N
(2023)
Two-component three-dimensional atomic Bose-Einstein condensates supporting complex stable patterns
in Physical Review A
| Title | Dataset: tests of a finite-element implementation of the nonlinear Fokker-Planck collision operator |
| Description | Data and plots created in the course of studying a finite element implementation of the nonlinear Fokker-Planck collision operator for charged particle collisions in a low density plasma. Created with the Julia-based code "moment_kinetics" https://github.com/mabarnes/moment_kinetics. This work was supported by the United Kingdom Atomic Energy Authority ExCALIBUR programme grant. The ExCALIBUR programme (https://excalibur.ac.uk/) is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and EPSRC in partnership with the Public Sector Research Establishment, the United Kingdom Atomic Energy Authority and UKRI research councils, including NERC, MRC and STFC. This work was supported by the U.S. Department of Energy under contract number DE-AC02-09CH11466. The United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 - EUROfusion). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the European Commission can be held responsible for them. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://ora.ox.ac.uk/objects/uuid:b3553faf-a735-44b3-95f9-5baa49a29ebf |