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Philip Cardiff
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2020 – today
- 2024
- [j8]Scott Levie
, Philip Cardiff
Accelerated segregated finite volume solvers for linear elastostatics using machine learning. Adv. Eng. Softw. 198: 103763 (2024) - [j7]Thomas F. Flint
Version 2.0 - LaserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit. SoftwareX 25: 101612 (2024) - 2023
- [j6]Emad Tandis
Finite volume-based supervised machine learning models for linear elastostatics. Adv. Eng. Softw. 176: 103390 (2023) - [j5]Iago Lessa de Oliveira
On the major role played by the lumen curvature of intracranial aneurysms walls in determining their mechanical response, local hemodynamics, and rupture likelihood. Comput. Biol. Medicine 163: 107178 (2023) - [j4]Thomas F. Flint
laserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit. SoftwareX 21: 101299 (2023) - 2022
- [j3]Thomas F. Flint
beamWeldFoam: Numerical simulation of high energy density fusion and vapourisation-inducing processes. SoftwareX 18: 101065 (2022) - [i5]Simon Rodriguez, Philip Cardiff
A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter. CoRR abs/2203.16394 (2022) - 2021
- [j2]Pierre Aumjaud
rl_reach: Reproducible reinforcement learning experiments for robotic reaching tasks. Softw. Impacts 8: 100061 (2021) - [i4]Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks. CoRR abs/2102.04916 (2021) - [i3]Seevani Bali, Zeljko Tukovic, Philip Cardiff, Alojz Ivankovic, Vikram Pakrashi
A cell-centred finite volume formulation of geometrically-exact Simo-Reissner beams with arbitrary initial curvatures. CoRR abs/2109.02951 (2021) - 2020
- [c2]Pierre Aumjaud
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks. WAF 2020: 318-331 - [i2]Lucar Ribeiro de Azevedo, Philip Cardiff, Francisco J. Galindo-Rosales, Michael Schäfer:
A block-coupled Finite Volume methodology for problems of large strain and large displacement. CoRR abs/2009.06408 (2020) - [i1]Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks. CoRR abs/2011.05782 (2020)
2010 – 2019
- 2014
- [j1]Jonathan Byrne, Philip Cardiff
Evolving parametric aircraft models for design exploration and optimisation. Neurocomputing 142: 39-47 (2014) - [c1]Jonathan Byrne, Philip Cardiff
Evolving an Aircraft Using a Parametric Design System. EvoMUSART 2014: 119-130
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last updated on 2024-12-10 20:50 CET by the dblp team
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