David Sondak

According to our database, David Sondak authored at least 12 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Recent Advances of NeuroDiffEq - An Open-Source Library for Physics-Informed Neural Networks.

Shuheng Liu, Pavlos Protopapas, David Sondak, Feiyu Chen

CoRR, February, 2025

2022

DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks.

Blake Bullwinkel, Dylan Randle, Pavlos Protopapas, David Sondak

CoRR, 2022

2021

Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow.

Haitz Sáez de Ocáriz Borde, David Sondak, Pavlos Protopapas

CoRR, 2021

Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems.

Shaan Desai, Marios Mattheakis, David Sondak, Pavlos Protopapas, Stephen J. Roberts

CoRR, 2021

2020

NeuroDiffEq: A Python package for solving differential equations with neural networks.

Feiyu Chen, David Sondak, Pavlos Protopapas, Marios Mattheakis, Shuheng Liu, Devansh Agarwal, Marco Di Giovanni

J. Open Source Softw., 2020

Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks.

Dylan Randle, Pavlos Protopapas, David Sondak

CoRR, 2020

Solving Differential Equations Using Neural Network Solution Bundles.

Cedric Flamant, Pavlos Protopapas, David Sondak

CoRR, 2020

Hamiltonian Neural Networks for solving differential equations.

Marios Mattheakis, David Sondak, Akshunna S. Dogra, Pavlos Protopapas

CoRR, 2020

Finding Multiple Solutions of ODEs with Neural Networks.

Marco Di Giovanni, David Sondak, Pavlos Protopapas, Marco Brambilla

Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019

Physical Symmetries Embedded in Neural Networks.

Marios Mattheakis, Pavlos Protopapas, David Sondak, Marco Di Giovanni, Efthimios Kaxiras

CoRR, 2019

2015

A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics.

David Sondak, John N. Shadid, Assad A. Oberai, Roger P. Pawlowski, Eric C. Cyr, Thomas M. Smith

J. Comput. Phys., 2015

2009

Optimal tuning of tokamak plasma equilibrium controllers in the presence of time delays.

Eugenio Schuster, David Sondak, Reza Arastoo, Michael L. Walker, David A. Humphreys

Proceedings of the IEEE International Conference on Control Applications, 2009