Research output per year
Research output per year
Personal profile
Overview
Dr. Alex Skillen is a Lecturer in Engineering Simulaiton and Data Science within the Department of Mechanical, Aerospace and Civil Engineering.
Alex's research interests lie at the intersection of Computational Fluid Dynamics (CFD) and machine learning. Application areas include stratified flows, environemntal flows, and magnetohydrodynamics.
Units taught
AERO20121
AERO40041
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Beacons, Institutes and Platforms
- Energy
- Institute for Data Science and AI
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A high-order finite-difference solver for direct numerical simulations of magnetohydrodynamic turbulence
Fang, J., Laizet, S. & Skillen, A., Feb 2025, In: Computer Physics Communications. 307, p. 1-20 20 p., 109400.Research output: Contribution to journal › Article › peer-review
Open Access -
Development of physically based modelling of bubble behaviour for subcooled boiling applications
Cranmer, J., Giustini, G., Skillen, A. & Tunstall, R., 2024, Journal of Physics: Conference Series, Volume 2766, 9th European Thermal Sciences Conference (Eurotherm 2024) 10/06/2024 - 13/06/2024 Lake Bled, Slovenia.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
NUMERICAL MODELLING OF CONDENSATION PHENOMENA FOR SUBCOOLED FLOW BOILING APPLICATIONS
Cranmer, J., Giustini, G., Skillen, A. & Tunstall, R., 2024, Proceedings of the 18th UK Heat Transfer Conference 9-11 September 2024, Birmingham.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Open Access -
A High-performance Open-source Solution for Multiphase Fluid-Structure Interaction
Liu, W., Longshaw, S. M., Skillen, A., Emerson, D. R., Valente, C. & Gambioli, F., Mar 2022, In: International Journal of Offshore and Polar Engineering. 32, 1, p. 24-30 7 p.Research output: Contribution to journal › Article › peer-review
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Correction to: Sloshing Wing Dynamics-2nd Year Project Overview (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022)
Gambioli, F., Chamos, A., Levenhagen, J., Behruzi, P., Mastroddi, F., Malan, A., Longshaw, S., Skillen, A., Cooper, J., Gonzalez, L. & Marrone, S., 2022, In: AIAA Science and Technology Forum and Exposition, AIAA SCITECH 2022 Forum. 2022-1341.c1.Research output: Contribution to journal › Commentary/debate › peer-review
Projects
- 1 Active
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Physics informed deep learning for fusion thermal hydraulics
Margetts, L. (PI) & Skillen, A. (CoI)
1/10/22 → 30/09/26
Project: Other
Datasets
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A high-order finite-difference solver for direct numerical simulations of magnetohydrodynamic turbulence
Fang, J. (Contributor), Laizet, S. (Contributor) & Skillen, A. (Contributor), Mendeley Data, 22 Oct 2024
DOI: 10.17632/z835zbbs8g.1, https://data.mendeley.com/datasets/z835zbbs8g
Dataset
Thesis
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The overset grid method, applied to the solution of the incompressible Navier-Stokes equations in two and three spatial dimensions.
Skillen, A. (Author), Iacovides, H. (Supervisor), 1 Aug 2012Student thesis: Phd
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