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Optimal tuning of tokamak plasma equilibrium controllers in the presence of time delays., , , , and . CCA/ISIC, page 1188-1194. IEEE, (2009)NeuroDiffEq: A Python package for solving differential equations with neural networks., , , , , , and . J. Open Source Softw., 5 (46): 1931 (2020)Physical Symmetries Embedded in Neural Networks., , , , and . CoRR, (2019)Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems., , , , and . CoRR, (2021)Solving Differential Equations Using Neural Network Solution Bundles, , and . (2020)cite arxiv:2006.14372Comment: 21 pages, 12 figures, 10 tables.Unsupervised Learning of Solutions to Differential Equations with Generative Adversarial Networks., , and . CoRR, (2020)A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics., , , , , and . J. Comput. Phys., (2015)DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks., , , and . CoRR, (2022)Finding Multiple Solutions of ODEs with Neural Networks., , , and . AAAI Spring Symposium: MLPS, volume 2587 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Hamiltonian Neural Networks for solving differential equations., , , and . CoRR, (2020)