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del Águila Ferrandis, José
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1

Reconstructing flexible body vortex-induced vibrations usin..:

Mentzelopoulos, Andreas P. ; Prele, Emile ; Fan, Dixia...
Journal of Fluids and Structures.  129 (2024)  - p. 104154 , 2024
Link: https://doi.org/10.1016/..
 
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2

Improving predictions of vortex induced vibrations via gene..:

del Águila Ferrandis, José ; Mentzelopoulos, Andreas ; Ronglan, Edvard...
Journal of Fluids and Structures.  126 (2024)  - p. 104086 , 2024
Link: https://doi.org/10.1016/..
 
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3

Data-driven prediction and study of vortex induced vibratio..:

Mentzelopoulos, Andreas P. ; del Águila Ferrandis, José ; Rudy, Samuel...
Ocean Engineering.  266 (2022)  - p. 112833 , 2022
Link: https://doi.org/10.1016/..
 
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4

Learning functional priors and posteriors from data and phy..:

Meng, Xuhui ; Yang, Liu ; Mao, Zhiping..
Journal of Computational Physics.  457 (2022)  - p. 111073 , 2022
Link: https://doi.org/10.1016/..
 
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5

Influence of large hull deformations on the motion response..:

del Águila Ferrandis, José ; Brizzolara, Stefano ; Chryssostomidis, Chryssostomos
Ocean Engineering.  163 (2018)  - p. 207-222 , 2018
Link: https://doi.org/10.1016/..
 
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6

Architected materials for artificial reefs to increase stor..:

Ronglan, Edvard ; Rubio, Alfonso Parra ; da Silva, Alexis Oliveira...
PNAS Nexus.  3 (2024)  3 - p. , 2024
Link: https://doi.org/10.1093/..
 
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7

Optimized parametric hydrodynamic databases provide accurat..:

Rudy, Samuel ; Fan, Dixia ; Ferrandis, Jose del Aguila..
Journal of Fluids and Structures.  112 (2022)  - p. 103607 , 2022
Link: https://doi.org/10.1016/..
 
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8

Vessel Sailing in a Severe Sea State from Learning nonlinea..:

José del Águila Ferrandis ; George Karniadakis ; Chryssostomos Chryssostomidis.
doi:10.6084/m9.figshare.13285968.v1.  , 2020
Link: https://doi.org/10.6084/..
 
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9

Python Code Template for Training from Learning nonlinear o..:

José del Águila Ferrandis ; George Karniadakis ; Chryssostomos Chryssostomidis.
doi:10.6084/m9.figshare.13272989.v1.  , 2020
Link: https://doi.org/10.6084/..
 
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10

Learning Functional Priors and Posteriors from Data and Phy..:

Meng, Xuhui ; Yang, Liu ; Mao, Zhiping..
http://arxiv.org/abs/2106.05863.  , 2021
Link: http://arxiv.org/abs/210..
 
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11

Learning Optimal Parametric Hydrodynamic Database for Vorte..:

Rudy, Samuel ; Fan, Dixia ; Ferrandis, Jose del Aguila..
http://arxiv.org/abs/2104.05887.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulat..:

Hennigh, Oliver ; Narasimhan, Susheela ; Nabian, Mohammad Amin...
http://arxiv.org/abs/2012.07938.  , 2020
Link: http://arxiv.org/abs/201..
 
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13

Learning functionals via LSTM neural networks for predictin..:

Ferrandis, José del Águila ; Triantafyllou, Michael ; Chryssostomidis, Chryssostomos.
http://arxiv.org/abs/1912.13382.  , 2019
Link: http://arxiv.org/abs/191..
 
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14

Nonprehensile Planar Manipulation through Reinforcement Lea..:

, In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Del Aguila Ferrandis, Juan ; Moura, Joao ; Vijayakumar, Sethu - p. 5606-5613 , 2023
Link: https://doi.org/10.1109/..
 
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