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Michael Triantafyllou

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

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263

TOTAL CITATIONS

2

Scholarly Papers (3)

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1.

Deep Learning Vortex-Induced Vibrations: Time-Space Forecasting with Transformers

Number of pages: 14 Posted: 07 Dec 2024
Andreas Mentzelopoulos, Ioannis Papakalodoukas, Dixia Fan, Themistoklis Sapsis and Michael Triantafyllou
affiliation not provided to SSRN, National Technical University of Athens, Westlake University, Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 208 (369,861)
Citation 2

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Deep Learning, Transformers, Time-Series Forecasting, Vortex-Induced Vibrations, Multi-Frequency Vibrations

2.

Reconstructing Flexible Body Vortex-Induced Vibrations Using Machine-Vision and Predicting the Motions Using Semi-Empirical Models Informed with Transfer Learned Hydrodynamic Coefficients

Number of pages: 10 Posted: 15 Dec 2023
Andreas Mentzelopoulos, Emile Prele, Dixia Fan, Jose del Aguila Ferrandis, Themistoklis Sapsis and Michael Triantafyllou
affiliation not provided to SSRN, affiliation not provided to SSRN, Westlake University, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) and affiliation not provided to SSRN
Downloads 42 (1,157,785)

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flexible body vortex induced vibrations (VIV), added mass and lift coefficients, Machine Learning, machine vision, transfer learning, experimental data

3.

Uncertainty Quantification in PINNs for Turbulent Flows: Bayesian Inference and Repulsive Ensembles

Number of pages: 36 Posted: 11 May 2026
Khemraj Shukla, Zongren Zou, Theo Theo Käufer, Michael Triantafyllou and George Em Karniadakis
Brown University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Brown University
Downloads 13 (1,541,665)

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