José del Águila Ferrandis
MIT Sea Grant(US)
Publications by Year
Research Areas
Fluid Dynamics and Vibration Analysis, Wind and Air Flow Studies, Ship Hydrodynamics and Maneuverability, Model Reduction and Neural Networks, Aerodynamics and Fluid Dynamics Research
Most-Cited Works
- → Learning functional priors and posteriors from data and physics(2022)55 cited
- → NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework(2020)31 cited
- → Modular Morphing Lattices for Large-Scale Underwater Continuum Robotic Structures(2023)30 cited
- → Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states(2021)28 cited
- → Data-driven prediction and study of vortex induced vibrations by leveraging hydrodynamic coefficient databases learned from sparse sensors(2022)16 cited
- → Influence of Viscosity and Non-Linearities in Predicting Motions of a Wind Energy Offshore Platform in Regular Waves(2020)13 cited
- → A probabilistic framework for multidisciplinary design: Application to the hydrostructural optimization of supercavitating hydrofoils(2018)11 cited
- → Influence of large hull deformations on the motion response of a fast catamaran craft with varying stiffness(2018)7 cited
- → Optimized parametric hydrodynamic databases provide accurate response predictions and describe the physics of vortex-induced vibrations(2022)7 cited
- → Reconstructing flexible body vortex-induced vibrations using machine-vision and predicting the motions using semi-empirical models informed with transfer learned hydrodynamic coefficients(2024)5 cited