| Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection D Lucor, A Agrawal, A Sergent Journal of Computational Physics 456, 111022, 2022 | 48 | 2022 |
| Physics-aware deep neural networks for surrogate modeling of turbulent natural convection D Lucor, A Agrawal, A Sergent Journal of Computational Physics, 2021 | 41 | 2021 |
| A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty A Agrawal, PS Koutsourelakis Journal of Computational Physics 508, 112982, 2024 | 12 | 2024 |
| Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators A Agrawal, K Ravi, PS Koutsourelakis, HJ Bungartz NeurIPS 2023 Machine Learning for Physics Workshop, 2023 | 7 | 2023 |
| PDE-constrained neural network for turbulent Rayleigh-Bénard convection A Agrawal, D Lucor, Y Fraigneau, B Podvin, A Sergent European Numerical Mathematics and Advanced Applications Conference 2019, 2019 | 3 | 2019 |
| From concrete mixture to structural design—a holistic optimization procedure in the presence of uncertainties A Agrawal, E Tamsen, JF Unger, PS Koutsourelakis Data-Centric Engineering 5, e20, 2024 | 2 | 2024 |
| Physics-Informed Tensor Basis Neural Network for Turbulence Closure Modeling L Riccius, A Agrawal, PS Koutsourelakis NeurIPS 2023 Machine Learning for Physics Workshop, 2023 | 1 | 2023 |
| Stochastic Black-Box Optimization using Multi-Fidelity Score Function Estimator A Agrawal, PS Koutsourelakis, K Ravi, HJ Bungartz Machine Learning Science and Technology 6, 015024, 2024 | | 2024 |
| Physics-informed neural networks modeling of turbulent natural convection A Sergent, D Lucor, A Agrawal, I Kanshana, K Doria PiAI Seminar Series: Physics informed AI in Plasma Science, 2023 | | 2023 |
| A reduced-order modeling framework for simulating signatures of faults in a bladed disk DS Singh, A Agrawal, DR Mahapatra SAE International Journal of Aerospace 16 (1), 87-108, 2021 | | 2021 |
| PHYSICS/DNS-INFORMED DNN SURROGATES OF TURBULENT THERMAL CONVECTION D Lucor, A Agrawal, A Sergent 14th World Congress on Computational Mechanics (WCCM) ECCOMAS Congress 2020, 2020 | | 2020 |
| Réseaux de neurones informés par la physique: application à la convection turbulente A Agrawal, A Sergent, Y Fraigneau, D Lucor Journée de dynamique des fluides du plateau de Saclay, 2020 | | 2020 |
| Investigation of PDE-constrained deep neural networks for efficient flow field assimilation A Agrawal, A Sergent, Y Fraigneau, D Lucor Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, 2019 | | 2019 |
| PDE- constrained neural network for turbulent Rayleigh-B ́enard convection A Agrawal, D Lucor, Y Fraigneau, B Podvin, A Sergent Workshop on Frontiers of Uncertainty Quantification in Fluid Dynamics, 2019 | | 2019 |
| Stochastic Black-Box Simulator Optimization using Multi-Fidelity Score Function Estimator A Agrawal, PS Koutsourelakis, K Ravi, HJ Bungartz | | |
| Probabilistic Machine Learning based Turbulence Model Learning with a Differentiable Solver A Agrawal, PS Koutsourelakis NeurIPS 2023 Machine Learning for Physics Workshop, 0 | | |
Didier LucorSenior researcher, CNRS, LISN, Orsay, FranceE-mailová adresa ověřena na: lisn.upsaclay.fr