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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, Joseph D. Robson, Parsa Esmati, Nicolò Grilli, Gowthaman Parivendhan, Philip Cardiff:
Version 2.0 - LaserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit. SoftwareX 25: 101612 (2024) - 2023
- [j6]Emad Tandis, Philip Cardiff:
Finite volume-based supervised machine learning models for linear elastostatics. Adv. Eng. Softw. 176: 103390 (2023) - [j5]Iago Lessa de Oliveira, Philip Cardiff, Carlos Eduardo Baccin, Rafael Trindade Tatit, José Luiz Gasche:
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, Joseph D. Robson, Gowthaman Parivendhan, Philip Cardiff:
laserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit. SoftwareX 21: 101299 (2023) - 2022
- [j3]Thomas F. Flint, Gowthaman Parivendhan, Alojz Ivankovic, Michael C. Smith, Philip Cardiff:
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, David McAuliffe, Francisco J. Rodríguez-Lera, Philip Cardiff:
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, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff:
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, Anthony Brabazon, Michael O'Neill:
Evolving parametric aircraft models for design exploration and optimisation. Neurocomputing 142: 39-47 (2014) - [c1]Jonathan Byrne, Philip Cardiff, Anthony Brabazon, Michael O'Neill:
Evolving an Aircraft Using a Parametric Design System. EvoMUSART 2014: 119-130
Coauthor Index
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