David Sondak

Identifiers

• name variant David Sondak 0.60 · backfill

Papers (17)

1. Recent Advances of NeuroDiffEq -- An Open-Source Library for Physics-Informed Neural Networks cs.LG · 2025 · author #3
2. Extending a Physics-Informed Machine Learning Network for Superresolution Studies of Rayleigh-B\'enard Convection physics.flu-dyn · 2023 · author #3
3. DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks cs.LG · 2022 · author #4
4. Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow physics.flu-dyn · 2021 · author #2
5. Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems cs.LG · 2021 · author #3
6. Convolutional Neural Network Models and Interpretability for the Anisotropic Reynolds Stress Tensor in Turbulent One-dimensional Flows physics.flu-dyn · 2021 · author #2
7. Learning a Reduced Basis of Dynamical Systems using an Autoencoder physics.comp-ph · 2020 · author #1
8. Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks cs.LG · 2020 · author #3
9. Coherent Solutions and Transition to Turbulence in Two-Dimensional Rayleigh-B\'{e}nard Convection physics.flu-dyn · 2020 · author #2
10. Solving Differential Equations Using Neural Network Solution Bundles cs.LG · 2020 · author #3
11. High Rayleigh number variational multiscale large eddy simulations of Rayleigh-B\'{e}nard Convection physics.comp-ph · 2020 · author #1
12. Hamiltonian neural networks for solving equations of motion physics.comp-ph · 2020 · author #2
13. Neural Network Models for the Anisotropic Reynolds Stress Tensor in Turbulent Channel Flow physics.flu-dyn · 2019 · author #2
14. Deep learning for turbulent channel flow physics.flu-dyn · 2018 · author #2
15. Can phoretic particles swim in two dimensions? cond-mat.soft · 2016 · author #1
16. Optimal Heat Transport in Rayleigh-B\'enard Convection physics.flu-dyn · 2015 · author #1
17. A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics physics.comp-ph · 2014 · author #1

Mentions

• 2502.12177 #3 · arxiv_oai · confidence 0.70 David Sondak
• 2307.02674 #3 · arxiv_oai · confidence 0.70 David Sondak
• 1507.03151 #1 · arxiv_oai · confidence 0.70 David Sondak
• 2209.07081 #4 · arxiv_oai · confidence 0.70 David Sondak
• 2001.11107 #2 · arxiv_oai · confidence 0.70 David Sondak
• 2106.15757 #2 · arxiv_oai · confidence 0.70 David Sondak
• 2111.00328 #2 · arxiv_oai · confidence 0.70 David Sondak
• 2107.08024 #3 · arxiv_oai · confidence 0.70 David Sondak
• 2011.07346 #1 · arxiv_oai · confidence 0.70 David Sondak
• 2006.14132 #2 · arxiv_oai · confidence 0.70 David Sondak
• 1909.03591 #2 · arxiv_oai · confidence 0.70 David Sondak
• 2007.11133 #3 · arxiv_oai · confidence 0.70 David Sondak
• 2006.14372 #3 · arxiv_oai · confidence 0.70 David Sondak
• 2005.10153 #1 · arxiv_oai · confidence 0.70 David Sondak
• 1812.02241 #2 · arxiv_oai · confidence 0.70 David Sondak
• 1611.10184 #1 · arxiv_oai · confidence 0.70 David Sondak
• 1412.1055 #1 · arxiv_oai · confidence 0.70 David Sondak
• 1412.1055 #1 · backfill · confidence 0.70 David Sondak

Frequent Coauthors

• Pavlos Protopapas 11 shared papers
• Dylan Randle 2 shared papers
• Haitz S\'aez de Oc\'ariz Borde 2 shared papers
• John N. Shadid 2 shared papers
• Leslie M. Smith 2 shared papers
• Marios Mattheakis 2 shared papers
• Roger P. Pawlowski 2 shared papers
• Rui Fang 2 shared papers
• Sauro Succi 2 shared papers
• Akshunna S. Dogra 1 shared papers
• Assad A. Oberai 1 shared papers
• Blake Bullwinkel 1 shared papers
• Blakesley Burkhart 1 shared papers
• Cedric Flamant 1 shared papers
• Cory Hawley 1 shared papers
• Diane M. Salim 1 shared papers
• Eric C. Cyr 1 shared papers
• Eric Lauga 1 shared papers
• Fabian Waleffe 1 shared papers
• Feiyu Chen 1 shared papers