| 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 | 301 | 2021 |
| 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 | 81 | 2020 |
| 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 | 58 | 2022 |
| 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 | 20 | 2023 |
| 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 | 13 | 2018 |
| 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 | 11 | 2022 |
| 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 | 11 | 2020 |
| 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 | 10 | 2019 |
| 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 | 8* | 2022 |
| 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 | 8 | 2021 |
| 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 | 8 | 2018 |
| NVIDIA SimNet: an AI-accelerated multi-physics simulation framework (2020) O Hennigh, S Narasimhan, MA Nabian, A Subramaniam, K Tangsali, ... Preprint at https://arxiv. org/abs, 2012 | 4 | 2012 |
| 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 | 3 | 2024 |
| Reconstructing flexible body vortex-induced vibrations using machine-vision and predicting the motions using semi-empirical models informed with transfer learned hydrodynamic … AP Mentzelopoulos, E Prele, D Fan, J del Aguila Ferrandis, T Sapsis, ... Journal of Fluids and Structures 129, 104154, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| Inferring Optimal Hydrodynamic Databases for Vortex Induced Cross Flow Vibration Prediction of Marine Risers Using Limited Sensor Measurements A Mentzelopoulos, J del Aguila Ferrandis, D Fan, S Rudy, T Sapsis, ... ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-22-259, 2022 | 1 | 2022 |
| 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 | 1 | 2020 |
| Exploring Complex Problems in Fluid Dynamics: from CFD to Experiments Leveraging ML J del Aguila Ferrandis Massachusetts Institute of Technology, 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 |
Michael S. TriantafyllouHenry L. and Grace Doherty Professor of Ocean Science & Engineering, MITVerifisert e-postadresse på mit.edu