| Tipping phenomena in typical dynamical systems subjected to parameter drift B Kaszás, U Feudel, T Tél Scientific reports 9 (1), 8654, 2019 | 42 | 2019 |
| The theory of parallel climate realizations: A new framework of ensemble methods in a changing climate: An overview T Tél, T Bódai, G Drótos, T Haszpra, M Herein, B Kaszás, M Vincze Journal of Statistical Physics 179, 1496-1530, 2020 | 33 | 2020 |
| Death and revival of chaos B Kaszás, U Feudel, T Tél Physical Review E 94 (6), 062221, 2016 | 19 | 2016 |
| Leaking in history space: A way to analyze systems subjected to arbitrary driving B Kaszás, U Feudel, T Tél Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (3), 033612, 2018 | 14 | 2018 |
| The snowball Earth transition in a climate model with drifting parameters: Splitting of the snapshot attractor B Kaszás, T Haszpra, M Herein Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (11), 113102, 2019 | 13 | 2019 |
| Dynamics-based machine learning of transitions in Couette flow B Kaszás, M Cenedese, G Haller Phys. Rev. Fluids 7 (8), L082402, 2022 | 5 | 2022 |
| Universal upper estimate for prediction errors under moderate model uncertainty B Kaszás, G Haller Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (11), 113144, 2020 | 3 | 2020 |
| Machine Learning-Based Characterization of the Nanostructure in a Combinatorial Co-Cr-Fe-Ni Compositionally Complex Alloy Film P Nagy, B Kaszás, I Csabai, Z Hegedűs, J Michler, L Pethö, J Gubicza Nanomaterials 12 (24), 4407, 2022 | 2 | 2022 |
| The objective deformation component of a velocity field B Kaszás, T Pedergnana, G Haller European Journal of Mechanics-B/Fluids 98, 211-223, 2023 | 1 | 2023 |
| Nonlinear Model Reduction to Fractional and Mixed-Mode Spectral Submanifolds G Haller, B Kaszás, A Liu, J Axås arXiv preprint arXiv:2305.15796, 2023 | | 2023 |
| When the Earth goes white: the Snowball Earth attractor M Herein, T Haszpra, B Kaszas EMS2022, 2022 | | 2022 |
| Global cooling: the Snowball Earth transition in a climate model with drifting parameters. B Kaszás, T Haszpra, M Herein Geophysical Research Abstracts 21, 2019 | | 2019 |
| Supplemental Material: Dynamics-based machine learning of transitions in Couette flow B Kaszás, M Cenedese, G Haller | | |
| Equation-and Data-driven Reduced-order Modeling for Fluid Flows M Cenedese, B Kaszás, G Haller | | |
Tamas TelProfessor of physics, Eotvos University, BudapestE-mail megerősítve itt: general.elte.hu
