Philip Cardiff

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Solve Complex Tasks

State Transitions

Learning Models

Top Venues

Publications

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 (2024)
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 (2023)
Thomas F. Flint, Joseph D. Robson, Gowthaman Parivendhan, Philip Cardiff
laserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit. SoftwareX 21 (2023)
Emad Tandis, Philip Cardiff
Finite volume-based supervised machine learning models for linear elastostatics. Adv. Eng. Softw. 176 (2023)
Simon Rodriguez, Philip Cardiff
A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter. CoRR (2022)
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 (2022)
Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera, Philip Cardiff
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks. CoRR (2021)
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 (2021)
Pierre Aumjaud, David McAuliffe, Francisco J. Rodríguez Lera, Philip Cardiff
rl_reach: Reproducible reinforcement learning experiments for robotic reaching tasks. Softw. Impacts 8 (2021)
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 (2020)
Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera, Philip Cardiff
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks. CoRR (2020)
Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera, Philip Cardiff
Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks. WAF (2020)
Jonathan Byrne, Philip Cardiff, Anthony Brabazon, Michael O'Neill
Evolving an Aircraft Using a Parametric Design System. EvoMUSART (2014)
Jonathan Byrne, Philip Cardiff, Anthony Brabazon, Michael O'Neill
Evolving parametric aircraft models for design exploration and optimisation. Neurocomputing 142 (2014)