David Sondak
Title
Cited by
Cited by
Year
Optimal heat transport solutions for Rayleigh–Bénard convection
D Sondak, LM Smith, F Waleffe
Journal of Fluid Mechanics 784, 565-595, 2015
23*2015
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics
D Sondak, JN Shadid, AA Oberai, RP Pawlowski, EC Cyr, TM Smith
Journal of Computational Physics 295, 596-616, 2015
232015
A residual based eddy viscosity model for the large eddy simulation of turbulent flows
AA Oberai, J Liu, D Sondak, TJR Hughes
Computer Methods in Applied Mechanics and Engineering 282, 54-70, 2014
202014
Physical symmetries embedded in neural networks
M Mattheakis, P Protopapas, D Sondak, M Di Giovanni, E Kaxiras
arXiv preprint arXiv:1904.08991, 2019
162019
Hamiltonian Neural Networks for solving differential equations
M Mattheakis, D Sondak, AS Dogra, P Protopapas
arXiv preprint arXiv:2001.11107, 2020
152020
Neural network models for the anisotropic Reynolds stress tensor in turbulent channel flow
R Fang, D Sondak, P Protopapas, S Succi
Journal of Turbulence 21 (9-10), 525-543, 2020
142020
Large eddy simulation models for incompressible magnetohydrodynamics derived from the variational multiscale formulation
D Sondak, AA Oberai
Physics of Plasmas 19 (10), 102308, 2012
12*2012
Application of the variational Germano identity to the variational multiscale formulation
AA Oberai, D Sondak
International Journal for Numerical Methods in Biomedical Engineering 27 (2 …, 2011
92011
Can phoretic particles swim in two dimensions?
D Sondak, C Hawley, S Heng, R Vinsonhaler, E Lauga, JL Thiffeault
Physical Review E 94 (6), 062606, 2016
82016
Deep learning for turbulent channel flow
R Fang, D Sondak, P Protopapas, S Succi
arXiv preprint arXiv:1812.02241, 2018
72018
NeuroDiffEq: A Python package for solving differential equations with neural networks
F Chen, D Sondak, P Protopapas, M Mattheakis, S Liu, D Agarwal, ...
Journal of Open Source Software 5 (46), 1931, 2020
62020
Solving Differential Equations Using Neural Network Solution Bundles
C Flamant, P Protopapas, D Sondak
arXiv preprint arXiv:2006.14372, 2020
32020
Towards a stabilized finite element method for the MHD equations
D Sondak, A Oberai
APS Division of Plasma Physics Meeting Abstracts 52, TO6. 003, 2010
32010
Finding multiple solutions of odes with neural networks
M Di Giovanni, D Sondak, P Protopapas, M Brambilla
AAAI-MLPS 2020 2587, 1-7, 2020
22020
An inadequacy formulation for an uncertain flamelet model
D Sondak, T Oliver, C Simmons, R Moser
19th AIAA Non-Deterministic Approaches Conference, 1091, 2017
22017
Coherent solutions and transition to turbulence in two-dimensional Rayleigh-Bénard convection
P Kooloth, D Sondak, LM Smith
Physical Review Fluids 6 (1), 013501, 2021
12021
High Rayleigh number variational multiscale large eddy simulations of Rayleigh-Bénard convection
D Sondak, TM Smith, RP Pawlowski, S Conde, JN Shadid
Mechanics Research Communications, 103614, 2020
12020
Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks
D Randle, P Protopapas, D Sondak
arXiv preprint arXiv:2007.11133, 2020
12020
Drekar v. 2.0
B Seefeldt, D Sondak, DM Hensinger, ET Phipps, JG Foucar, ...
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2017
12017
Novel residual-based large eddy simulation turbulence models for incompressible magnetohydrodynamics
D Sondak
Rensselaer Polytechnic Institute, 2013
12013
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