David Sondak
Orcid: 0000-0002-2730-9097
According to our database1,
David Sondak
authored at least 11 papers
between 2009 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2022
CoRR, 2022
2021
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow.
CoRR, 2021
Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems.
CoRR, 2021
2020
NeuroDiffEq: A Python package for solving differential equations with neural networks.
J. Open Source Softw., 2020
Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks.
CoRR, 2020
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
2015
A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics.
J. Comput. Phys., 2015
2009
Optimal tuning of tokamak plasma equilibrium controllers in the presence of time delays.
Proceedings of the IEEE International Conference on Control Applications, 2009