Seminars

Past

2024
PyFR: Taking Scale-Resolving Simulations from Academia to Industry. P. E. Vincent, NASA Ames, Moffett Field, CA, USA, December 2024.
Aerodynamic Optimisation of Aerofoils for Martian Rotorcraft Using Direct Numerical Simulations. P. E. Vincent, AIAA Journal Seminar Series, October 2024.
2023
PyFR: Taking Scale-Resolving Simulations from Academia to Industry. P. E. Vincent, Department of Aeronautics and Astronautics, Stanford University, California, USA, June 2023.
PyFR: Taking Scale-Resolving Simulations from Academia to Industry. P. E. Vincent, NASA Ames Research Center, California, USA, June 2023.
2022
PyFR: Latest Developments and Future Roadmap. P. E. Vincent, Journal of Computational Physics Seminar Series, May 2022.
2017
Towards Green Aviation with Python at Petascale. P. E. Vincent, Tokyo University of Science, Tokyo, Japan, December 2017.
2016
Next Generation CFD: High-Order Accurate Simulations using Many-Core Platforms. P. E. Vincent, Swiss National Supercomputing Center, Lugano, Switzerland, August 2016.
PyFR: High-Order Accurate Cross-Platform Petascale Computational Fluid Dynamics with Python. F. D. Witherden, P. E. Vincent, NASA Ames, Moffett Field, CA, USA, May 2016.
2015
Next-Generation Computational Fluid Dynamics: High-Order Methods and Many-Core Hardware. P. E. Vincent, The School of Mechanical Aerospace & Civil Engineering, The University of Manchester, Manchester, UK, March 2015.
2014
PyFR: Next-Generation High-Order Computational Fluid Dynamics on Modern Hardware Platforms. P. E. Vincent, NASA Langley, Hampton, VA, USA, October 2014.
PyFR: An Open Source Framework for High-Order Computational Fluid Dynamics on Streaming Architectures. P. E. Vincent, NASA Glenn, Cleveland, OH, USA, April 2014.
Next Generation CFD: High-Order Accurate Simulations using Many-Core Platforms. P. E. Vincent, General Atomics, San Diego, CA, USA, March 2014.
2013
Next Generation CFD: High-Order Accurate Simulations using Many-Core Platforms. P. E. Vincent, Aerodynamics and Flight Mechanics Group, University of Southampton, Southampton, UK, December 2013.
Next Generation CFD: High-Order Accurate Simulations using Many-Core Platforms. P. E. Vincent, Numeca International, Brussels, Belgium, October 2013.
Next Generation CFD: High-Order Accurate Simulations using Many-Core Platforms. P. E. Vincent, BAE Systems Advanced Technology Centre, Filton, UK, April 2013.
2012
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, Institute of Mathematics, University of Kassel, Kassel, Germany, December 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, Numeca International, Brussels, Belgium, November 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, Laboratori de Calcul Numeric, Universitat Politecnica de Catalunya, Barcelona, Spain, November 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, School of Engineering, Swansea University, UK, October 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, Department of Mathematics, Imperial College London, London, UK, June 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, Mathematical Institute, Oxford University, Oxford, UK, May 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, Department of Mechanics and Aerospace Engineering, Peking University, Beijing, China, March 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, School of Jet Propulsion, Beijing University of Aeronautics and Astronautics, Beijing, China, March 2012.
The Flux Reconstruction Approach to High-Order Methods - Theory, Implementation, and Application. P. E. Vincent, Department of Thermal Engineering, Tsinghua University, Beijing, China, March 2012.
Blood Flow in the Rabbit Aortic Arch and Descending Thoracic Aorta. P. E. Vincent, Department of Physics, Cambridge University, Cambridge, UK, March 2012.
The Flux Reconstruction Approach to High-Order Methods. P. E. Vincent, Department of Physics, Cambridge University, Cambridge, UK, March 2012.
The Flux Reconstruction Approach to High-Order Methods. P. E. Vincent, Department of Aeronautics, Imperial College London, London, UK, January 2012.
2011
Unstructured High-Order Methods for Computational Fluid Dynamics. P. E. Vincent, General Atomics, San Diego, CA, USA, April 2011.
Unstructured High-Order Methods for Computational Fluid Dynamics. P. E. Vincent, Fluid Mechanics Seminar, Stanford University, Stanford, CA, USA, April 2011.
Unstructured High-Order Methods for Computational Fluid Dynamics. P. E. Vincent, Department of Computer Science, Stanford University, Stanford, CA, USA, February 2011.
Unstructured High-Order Methods for Computational Fluid Dynamics. P. E. Vincent, Los Alamos National Laboratory, Los Alamos, NM, USA, February 2011.
2009
Computational Studies of Blood Flow and Lipid Transport Within Arteries. P. E. Vincent, Department of Aeronautics and Astronautics, Stanford University, Stanford, CA, USA, June 2009.
Computational Studies of Blood Flow and Lipid Transport Within Arteries. P. E. Vincent, Department of Physics, Harvard University, Cambridge, MA, USA, April 2009.
Computational Studies of Blood Flow and Lipid Transport Within Arteries. P. E. Vincent, Department of Applied Mathematics, Brown University, Providence, RI, USA, April 2009.
Computational Studies of Blood Flow and Lipid Transport Within Arteries. P. E. Vincent, Department of Visualisation, Harvard University, Cambridge, MA, USA, April 2009.
Realistic Reconstructions of the Rabbit Aorta. P. E. Vincent, Department of Bioengineering, Imperial College London, London, UK, January 2009.
2008
Sub-Cellular Scale Features of Low Density Lipoprotein Concentration Polarisation in Arteries. P. E. Vincent, Department of Aeronautics, Imperial College London, London, UK, November 2008.
Flow and Mass Transport near the Luminal Surface of the Arterial Wall. P. E. Vincent, Department of Mathematics, Imperial College London, London, UK, June 2008.
2007
Sub-Cellular Scale Features of LDL Concentration Polarisation Adjacent to the Endothelium. P. E. Vincent, Department of Bioengineering, Imperial College London, London, UK, December 2007.
Sub-Cellular Scale Variations in LDL Concentration Polarisation Adjacent to the Endothelium. P. E. Vincent, Department of Mathematics, University of Utah, Salt Lake City, UT, USA, October 2007.
Sub-Cellular Scale Variations in LDL Concentration Polarisation Adjacent to the Endothelium - Implications for Atherosclerosis Initiation. P. E. Vincent, Department of Aeronautics, Imperial College London, London, UK, May 2007.
Sub-Cellular Scale Variations in LDL Concentration Polarisation on the Luminal Side of the Endothelium. P. E. Vincent, Department of Biomedical Engineering, City College New York, New York, NY, USA, January 2007.
2006
Computational Modelling of Atherosclerosis Initiation. P. E. Vincent, Department of Aeronautics, Imperial College London, London, UK, May 2006.

Openings

PhD Studentship in Aeronautics - High-Fidelity Simulation of Titan/Mars Entry Vehicles with PyFR
Summary: Next-generation Entry, Descent, and Landing (EDL) systems for Titan and Mars must safely slow down increasingly large payloads. One particular challenge occurs during the transonic phase of descent, where the spacecraft is subject to aerodynamic instabilities that can cause uncontrolled oscillations, posing a significant risk of mission failure. This project will further develop the GPU-accelerated computational fluid dynamics flow solver PyFR - implementing improved shock capturing approaches and a full 6-DOF free-flight capability - and use it to study dynamic stability in the transonic phase of descent. The work will be undertaken in collaboration with Texas A&M University and NASA Ames.

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