Optimal tuning of tokamak plasma equilibrium controllers in the presence of time delays. - Eugenio Schuster; David Sondak; Reza Arastoo; Michael L. Walker 004; David A. Humphreys (CCA/ISIC, 2009)

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)

Physical Symmetries Embedded in Neural Networks. - Marios Mattheakis; Pavlos Protopapas; David Sondak; Marco Di Giovanni 001; Efthimios Kaxiras (CoRR, 2019)

Finding Multiple Solutions of ODEs with Neural Networks. - Marco Di Giovanni 001; David Sondak; Pavlos Protopapas; Marco Brambilla 001 (AAAI Spring Symposium: MLPS, 2020)

Hamiltonian Neural Networks for solving differential equations. - Marios Mattheakis; David Sondak; Akshunna S. Dogra; Pavlos Protopapas (CoRR, 2020)

Solving Differential Equations Using Neural Network Solution Bundles. - Cedric Flamant; Pavlos Protopapas; David Sondak (CoRR, 2020)

Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks. - Dylan Randle; Pavlos Protopapas; David Sondak (CoRR, 2020)

NeuroDiffEq: A Python package for solving differential equations with neural networks. - Feiyu Chen; David Sondak; Pavlos Protopapas; Marios Mattheakis; Shuheng Liu 001; Devansh Agarwal; Marco Di Giovanni 001 (J. Open Source Softw., 2020)

Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems. - Shaan Desai; Marios Mattheakis; David Sondak; Pavlos Protopapas; Stephen J. Roberts (CoRR, 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)

DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks. - Blake Bullwinkel; Dylan Randle; Pavlos Protopapas; David Sondak (CoRR, 2022)

Recent Advances of NeuroDiffEq - An Open-Source Library for Physics-Informed Neural Networks. - Shuheng Liu 001; Pavlos Protopapas; David Sondak; Feiyu Chen (CoRR, 2025)