Deep Learning of Turbulent Scalar Mixing

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7. 2023Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generationcited by 28
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11. 2022A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacousticcited by 7
12. 2024ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learningcited by 7

1. 2026Graph-Instructed Neural Networks for parametric problems with varying boundary conditions9 Mar 2026
2. 2025A Variational Framework for Residual-Based Adaptivity in Neural PDE Solvers and Operator Learning17 Sep 2025
3. 2025Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs23 May 2025
4. 2024ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning14 Dec 2024
5. 2024From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning17 Oct 2024
6. 2024GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications5 Jun 2024
7. 2023Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation14 Nov 2023
8. 2022Partial Differential Equations Meet Deep Neural Networks: A Survey27 Oct 2022
9. 2022A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic13 Apr 2022
10. 2022Respecting causality is all you need for training physics-informed neural networks14 Mar 2022
11. 2021PINNs for the Solution of the Hyperbolic Buckley-Leverett Problem with a Non-convex Flux Function29 Dec 2021
12. 2021Fast PDE-constrained optimization via self-supervised operator learning25 Oct 2021

1. 2023Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generationcited by 28

1. 2023Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation14 Nov 2023

1. 2021Learning the solution operator of parametric partial differential equations with physics-informed DeepOnetscited by 537
2. 2022Respecting causality is all you need for training physics-informed neural networkscited by 154
3. 2021Long-time integration of parametric evolution equations with physics-informed DeepONetscited by 87
4. 2024From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learningcited by 73
5. 2021Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networkscited by 43
6. 2021A novel meta-learning initialization method for physics-informed neural networkscited by 35
7. 2022Partial Differential Equations Meet Deep Neural Networks: A Surveycited by 25
8. 2021Fast PDE-constrained optimization via self-supervised operator learningcited by 24
9. 2024GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applicationscited by 10
10. 2022A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacousticcited by 7
11. 2024ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learningcited by 7
12. 2025A Variational Framework for Residual-Based Adaptivity in Neural PDE Solvers and Operator Learningcited by 6

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1. 2026Graph-Instructed Neural Networks for parametric problems with varying boundary conditions9 Mar 2026
2. 2025A Variational Framework for Residual-Based Adaptivity in Neural PDE Solvers and Operator Learning17 Sep 2025
3. 2025Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs23 May 2025
4. 2024ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning14 Dec 2024
5. 2024From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning17 Oct 2024
6. 2024GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications5 Jun 2024
7. 2022Partial Differential Equations Meet Deep Neural Networks: A Survey27 Oct 2022
8. 2022A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic13 Apr 2022
9. 2022Respecting causality is all you need for training physics-informed neural networks14 Mar 2022
10. 2021PINNs for the Solution of the Hyperbolic Buckley-Leverett Problem with a Non-convex Flux Function29 Dec 2021
11. 2021Fast PDE-constrained optimization via self-supervised operator learning25 Oct 2021
12. 2021Physics-informed neural networks for improving cerebral hemodynamics predictions25 Aug 2021

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