Learning, Processing and Optimising Shapes (MCSA-ITN-ETN) (GRAPES)

Kaklis, Panagiotis (Principal Investigator)

Project: Research

3 Conference contribution book
2 Article

3 results

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2023
Bayesian shape optimisation in high dimensional design spaces using isogeometric boundary element analysis
Khan, S., Kaklis, P., Kostas, K., Serani, A. & Diez, M., 23 Jan 2023, AIAA SCITECH 2023 Forum. Reston, VA.: American Institute of Aeronautics and Astronautics Inc. (AIAA), 2546
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
21 Downloads (Pure)
2021
Geometry-driven parametric sensitivity analysis for free-form marine shapes
Khan, S., Kaklis, P., Serani, A. & Diez, M., 3 Jun 2021, IX Conference on Computational Methods in Marine Engineering: Marine 2021. [Edinburgh], 18 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
19 Downloads (Pure)
Physics-informed feature-to-feature learning for design-space dimensionality reduction in shape optimisation
Khan, S., Serani, A., Diez, M. & Kaklis, P., 4 Jan 2021, AIAA Scitech 2021 Forum. Reston, VA., 25 p. AIAA 2021-1235
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Open Access
File
15 Citations (Scopus)

20 Downloads (Pure)