Personal information

Mesh Adaptation, High-Order Methods
United States

Activities

Employment (5)

NASA Ames Research Center: Moffett Field, CA, US

2020-01-27 to present | NPP Fellow (NASA Advanced Supercomputing)
Employment
Source: Self-asserted source
Julian Marcon

Imperial College London: London, London, GB

2016-09-12 to 2020-01-11 | Research Assistant (Aeronautics)
Employment
Source: Self-asserted source
Julian Marcon

Open Engineering SA: Liège, BE

2015-09 to 2016-07 | Development & Applications Engineer
Employment
Source: Self-asserted source
Julian Marcon

Open Engineering SA: Liège, BE

2014-01 to 2014-09 | Applications Engineer
Employment
Source: Self-asserted source
Julian Marcon

Open Engineering SA: Liège, BE

2013-06 to 2013-08 | Software Validation Engineering Intern
Employment
Source: Self-asserted source
Julian Marcon

Education and qualifications (3)

Imperial College London: London, London, GB

2016-09-12 to 2020-01-11 | PhD in Aeronautics (Aeronautics)
Education
Source: Self-asserted source
Julian Marcon

Imperial College London: London, London, GB

2014-10 to 2015-09 | MSc in Advanced Computational Methods for Aeronautics, Flow Management and Fluid-Structure Interaction (Aeronautics)
Education
Source: Self-asserted source
Julian Marcon

New York Institute of Technology: Old Westbury, NY, US

2010-09 to 2013-12 | BS in Mechanical Engineering (Aerospace Engineering Concentration) (Mechanical Engineering)
Education
Source: Self-asserted source
Julian Marcon

Funding (2)

Parallel hp-adaptivity for complex industrial configurations

2020-01 to 2022-01 | Grant
National Aeronautics and Space Administration (DC, DC, US)
Source: Self-asserted source
Julian Marcon

Stability and Sensitivity Methods for Industrial Design

2016-01-01 to 2019-12-31 | Grant
European Commission (Brussels, BE)
GRANT_NUMBER: 675008
Source: Self-asserted source
Julian Marcon via DimensionsWizard

Works (11)

An Adjoint Elasticity Solver for High-Order Mesh Deformation

AIAA Scitech 2021 Forum
2021-01-04 | Conference paper
Source: Self-asserted source
Julian Marcon

rp-adaptation for compressible flows

International Journal for Numerical Methods in Engineering
2020-12-15 | Journal article
Part of ISSN: 1097-0207
EID:

2-s2.0-85090996263

Source: Self-asserted source
Julian Marcon
grade
Preferred source (of 3)‎

Nektar++: Enhancing the capability and application of high-fidelity spectral/hp element methods

Computer Physics Communications
2020-04-18 | Journal article
Part of ISSN: 0010-4655
EID:

2-s2.0-85077144325

Source: Self-asserted source
Julian Marcon
grade
Preferred source (of 3)‎

Naturally curved quadrilateral mesh generation using an adaptive spectral element solver

Proceedings of the 28th International Meshing Roundtable
2020-02-06 | Conference paper
Part of ISBN: 978-1-73348-900-3
Source: Self-asserted source
Julian Marcon

A high resolution PDE approach to quadrilateral mesh generation

Journal of Computational Physics
2019-12-15 | Journal article
Part of ISSN: 0021-9991
EID:

2-s2.0-85072709009

Source: Self-asserted source
Julian Marcon
grade
Preferred source (of 3)‎

Mesh adaptation for high-order flow simulations

Imperial College London
2019-11 | Dissertation or Thesis
Source: Self-asserted source
Julian Marcon

Numerical study on the effect of geometric approximation error in the numerical solution of PDEs using a high-order curvilinear mesh

2019-08-23 | Preprint
Source: Self-asserted source
Julian Marcon

Simplifying High-Order Mesh Generation for Computational Scientists

10th International Workshop on Science Gateways
2019-05-07 | Conference paper
Part of ISSN: 1613-0073
EID:

2-s2.0-85065548361

Source: Self-asserted source
Julian Marcon
grade
Preferred source (of 2)‎

A semi-structured approach to curvilinear mesh generation around streamlined bodies

AIAA Scitech 2019 Forum
2019-01-07 | Conference paper
EID:

2-s2.0-85068984714

Source: Self-asserted source
Julian Marcon
grade
Preferred source (of 2)‎

High-order curvilinear hybrid mesh generation for CFD simulations

2018 AIAA Aerospace Sciences Meeting
2018-01-07 | Conference paper
Part of DOI: 10.2514/MASM18
EID:

2-s2.0-85044605046

Source: Self-asserted source
Julian Marcon
grade
Preferred source (of 3)‎

A variational approach to high-order r-adaptation

26th International Meshing Roundtable
2017-09 | Conference paper
Part of ISSN: 1877-7058
Source: Self-asserted source
Julian Marcon

Peer review (2 reviews for 1 publication/grant)

Review activity for Computer Aided Design. (2)