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José del Águila Ferrandis
José del Águila Ferrandis
Verified email at mit.edu - Homepage
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Year
NVIDIA SimNet™: An AI-accelerated multi-physics simulation framework
O Hennigh, S Narasimhan, MA Nabian, A Subramaniam, K Tangsali, ...
International Conference on Computational Science, 447-461, 2021
2162021
Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states
CCGEK J. del Águila Ferrandis , M. S. Triantafyllou
Proceedings of the Royal Society A, 2020
582020
Learning functional priors and posteriors from data and physics
X Meng, L Yang, Z Mao, J del Águila Ferrandis, GE Karniadakis
Journal of Computational Physics 457, 111073, 2022
402022
A probabilistic framework for multidisciplinary design: Application to the hydrostructural optimization of supercavitating hydrofoils
L Bonfiglio, P Perdikaris, J del Águila, GE Karniadakis
International Journal for Numerical Methods in Engineering 116 (4), 246-269, 2018
112018
Learning optimal parametric hydrodynamic database for vortex-induced crossflow vibration prediction of both freely-mounted rigid and flexible cylinders
S Rudy, D Fan, JA Ferrandis, T Sapsis, MS Triantafyllou
ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-21-3214, 2021
82021
Design of a power corridor distribution network
J del Águila Ferrandis, J Chalfant, CM Cooke, C Chryssostomidis
2019 IEEE Electric Ship Technologies Symposium (ESTS), 284-292, 2019
82019
Data-driven prediction and study of vortex induced vibrations by leveraging hydrodynamic coefficient databases learned from sparse sensors
AP Mentzelopoulos, J del Águila Ferrandis, S Rudy, T Sapsis, ...
Ocean Engineering 266, 112833, 2022
72022
Optimized parametric hydrodynamic databases provide accurate response predictions and describe the physics of vortex-induced vibrations
S Rudy, D Fan, J del Aguila Ferrandis, TP Sapsis, MS Triantafyllou
Journal of Fluids and Structures 112, 103607, 2022
6*2022
Influence of large hull deformations on the motion response of a fast catamaran craft with varying stiffness
J del Águila Ferrandis, S Brizzolara, C Chryssostomidis
Ocean Engineering 163, 207-222, 2018
62018
Modular morphing lattices for large-scale underwater continuum robotic structures
A Parra Rubio, D Fan, B Jenett, J del Águila Ferrandis, F Tourlomousis, ...
Soft Robotics 10 (4), 724-736, 2023
52023
Influence of viscosity and non-linearities in predicting motions of a wind energy offshore platform in regular waves
JÁ Ferrandis, L Bonfiglio, RZ Rodríguez, C Chryssostomidis, ...
Journal of Offshore Mechanics and Arctic Engineering 142 (6), 062003, 2020
52020
Inferring Optimal Hydrodynamic Databases for Vortex Induced Cross Flow Vibration Prediction of Marine Risers Using Limited Sensor Measurements
A Mentzelopoulos, J del Águila Ferrandis, D Fan, S Rudy, T Sapsis, ...
ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-22-259, 2022
12022
SimNet: A neural network solver for multi-Physics applications
O Hennigh, K Tangsali, A Subramaniam, S Narasimhan, M Nabian, ...
APS Division of Fluid Dynamics Meeting Abstracts, S01. 007, 2020
12020
Improving predictions of vortex induced vibrations via generalizable hydrodynamic databases across several current incidence angles
J del Águila Ferrandis, A Mentzelopoulos, E Ronglan, S Rudy, D Fan, ...
Journal of Fluids and Structures 126, 104086, 2024
2024
Architected materials for artificial reefs to increase storm energy dissipation
E Ronglan, AP Rubio, AO da Silva, D Fan, JL Gair Jr, PM Stathatou, ...
PNAS nexus 3 (3), pgae101, 2024
2024
Physics-based Data-informed Prediction of Vertical, Catenary, and Stepped Riser Vortex-induced Vibrations
AP Mentzelopoulos, JÁ Ferrandis, S Rudy, T Sapsis, MS Triantafyllou, ...
International Journal of Offshore and Polar Engineering 33 (04), 367-379, 2023
2023
Influence of Viscosity and Non-Linearities in Predicting Motions of a Wind Energy Offshore Platform in Regular Waves
J del Águila Ferrandis, RZ Rodríguez, C Chryssostomidis, L Bonfiglio
International Conference on Offshore Mechanics and Arctic Engineering 51203 …, 2018
2018
Reconstructing Flexible Body Vortex-Induced Vibrations Using Machine-Vision and Predicting the Motions Using Semi-Empirical Models Informed with Transfer Learned Hydrodynamic …
A Mentzelopoulos, E Prele, D Fan, J del Aguila Ferrandis, T Sapsis, ...
Available at SSRN 4666044, 0
Data-driven prediction of flexible cylinder vortex induced vibrations using limited sensor measurements.
A Mentzelopoulos, J del Aguila Ferrandis, D Fan, S Rudy, T Sapsis, ...
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Articles 1–19