Publikationen von Y. Yudin

Yudin, Y.; Coster, D.; Toussaint, U. v.; Jenko, F.: Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations. In: Computational Science – ICCS 2023, S. 572 - 586 (Hg. Mikyska, J.; Mulatier, C. v.; Paszynski, M.; Krzhizhanovskaya, V. V.; Dongarra, J. J. et al.). 23rd International Conference on Computational Science (ICCS 2023), Prague, 03. Juli 2023 - 05. Juli 2023. Springer, Cham (2023)

Luk, O. O.; Lakhlili, J.; Toussaint, U. v.; Veen, L. E.; Yudin, Y.; Hoenen, O.; Scott, B. D.; Coster, D. P.: Performing Validation, Verification, and Sensitivity Analysis on Multiscale Fusion Plasma Simulations with the VECMA Toolkit. In: 47th EPS Conference on Plasma Physics, P2.1075 (Hg. Giruzzi, G.; Arnas, C.; Borba, D.; Gopla, A.; Lebedev, S. et al.). 47th EPS Conference on Plasma Physics, Virtual, 21. Juni 2021 - 25. Juni 2021. European Physical Society, Geneva (2021)

Yudin, Y.; Coster, D.; Toussaint, U. v.; Jenko, F.: Uncertainty Quantification for Multiscale Turbulent Transport Simulations. 86. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Dresden (eingereicht)

Luk, O. O.; Lakhlili, J.; Toussaint, U. v.; Veen, L. E.; Yudin, Y.; Hoenen, O.; Scott, B. D.; Coster, D. P.: Performing Validation, Verification, and Sensitivity Analysis on Multiscale Fusion Plasma Simulations with the VECMA Toolkit. 47th EPS Conference on Plasma Physics, Virtual (2021)

Yudin, Y.; Lakhlili, J.; Luk, O.; Toussaint, U. v.; Coster, D.: Gaussian Process Surrogate Models for Uncertainty Quantification in Multiscale Turbulent Transport Simulations. DPG-Tagung der Sektion Materie und Kosmos (SMuK), Virtual (eingereicht)

Yudin, Y.; Toussaint, U. v.; Coster, D.: Uncertainty Quantification for Multiscale Turbulent Transport Simulations. DPG-Frühjahrstagung der Fachverbände Physik der Hadronen und Kerne, Plasmaphysik und des Arbeitskreises Beschleunigerphysik , Mainz, Virtual (eingereicht)

Yudin, Y.: Uncertainty Quantification and Machine Learning Surrogate Models for Multi-Scale High-Performance-Computing Plasma Physics Turbulent Transport Simulations. Dissertation, 140 S., TUM School of Computation, Information and Technology, Technische Universität München, München (2024)

Yudin, Y.: Uncertainty Quantification and Machine Learning Surrogate Models for Multi-Scale High-Performance-Computing Plasma Physics Turbulent Simulations. Max-Planck-Institut für Plasmaphysik, Garching (2024), 128 S.