Philip Cardiff

According to our database, Philip Cardiff authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Version 2.0 - LaserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit.

Thomas F. Flint, Joseph D. Robson, Parsa Esmati, Nicolò Grilli, Gowthaman Parivendhan, Philip Cardiff

SoftwareX, February, 2024

Accelerated segregated finite volume solvers for linear elastostatics using machine learning.

Scott Levie, Philip Cardiff

Adv. Eng. Softw., 2024

2023

On the major role played by the lumen curvature of intracranial aneurysms walls in determining their mechanical response, local hemodynamics, and rupture likelihood.

Iago Lessa de Oliveira, Philip Cardiff, Carlos Eduardo Baccin, Rafael Trindade Tatit, José Luiz Gasche

Comput. Biol. Medicine, September, 2023

laserbeamFoam: Laser ray-tracing and thermally induced state transition simulation toolkit.

Thomas F. Flint, Joseph D. Robson, Gowthaman Parivendhan, Philip Cardiff

SoftwareX, February, 2023

Finite volume-based supervised machine learning models for linear elastostatics.

Emad Tandis, Philip Cardiff

Adv. Eng. Softw., February, 2023

2022

beamWeldFoam: Numerical simulation of high energy density fusion and vapourisation-inducing processes.

Thomas F. Flint, Gowthaman Parivendhan, Alojz Ivankovic, Michael C. Smith, Philip Cardiff

SoftwareX, 2022

A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter.

Simon Rodriguez, Philip Cardiff

CoRR, 2022

2021

rl_reach: Reproducible reinforcement learning experiments for robotic reaching tasks.

Pierre Aumjaud, David McAuliffe, Francisco J. Rodríguez-Lera, Philip Cardiff

Softw. Impacts, 2021

A cell-centred finite volume formulation of geometrically-exact Simo-Reissner beams with arbitrary initial curvatures.

Seevani Bali, Zeljko Tukovic, Philip Cardiff, Alojz Ivankovic, Vikram Pakrashi

CoRR, 2021

2020

A block-coupled Finite Volume methodology for problems of large strain and large displacement.

Lucar Ribeiro de Azevedo, Philip Cardiff, Francisco J. Galindo-Rosales, Michael Schäfer

CoRR, 2020

Reinforcement Learning Experiments and Benchmark for Solving Robotic Reaching Tasks.

Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez-Lera, Philip Cardiff

Proceedings of the Advances in Physical Agents II, 2020

2014

Evolving parametric aircraft models for design exploration and optimisation.

Jonathan Byrne, Philip Cardiff, Anthony Brabazon, Michael O'Neill

Neurocomputing, 2014

Evolving an Aircraft Using a Parametric Design System.

Jonathan Byrne, Philip Cardiff, Anthony Brabazon, Michael O'Neill

Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2014