| Thermodynamic inference in partially accessible Markov networks: a unifying perspective from transition-based waiting time distributions J Van der Meer, B Ertel, U Seifert Physical Review X 12 (3), 031025, 2022 | 80 | 2022 |
| Time-resolved statistics of snippets as general framework for model-free entropy estimators J van der Meer, J Degünther, U Seifert Physical Review Letters 130 (25), 257101, 2023 | 34 | 2023 |
| Operationally accessible uncertainty relations for thermodynamically consistent semi-Markov processes B Ertel, J van der Meer, U Seifert Physical Review E 105 (4), 044113, 2022 | 25 | 2022 |
| Fluctuating entropy production on the coarse-grained level: Inference and localization of irreversibility J Degünther, J van der Meer, U Seifert Physical Review Research 6 (2), 023175, 2024 | 15 | 2024 |
| General theory for localizing the where and when of entropy production meets single-molecule experiments J Degünther, J van der Meer, U Seifert Proceedings of the National Academy of Sciences 121 (33), e2405371121, 2024 | 4 | 2024 |
| Waiting time distributions in hybrid models of motor–bead assays: A concept and tool for inference B Ertel, J Van der Meer, U Seifert International Journal of Molecular Sciences 24 (8), 7610, 2023 | 4 | 2023 |
| Inferring kinetics and entropy production from observable transitions in partially accessible, periodically driven Markov networks AM Maier, J Degünther, J van der Meer, U Seifert Journal of Statistical Physics 191 (8), 104, 2024 | 3 | 2024 |
| Stroboscopic measurements in Markov networks: Exact generator reconstruction vs. thermodynamic inference MT Bauer, U Seifert, J van der Meer arXiv preprint arXiv:2412.15642, 2024 | | 2024 |
Udo SeifertProfessor of Theoretical Physics, University of StuttgartEmail verificata su theo2.physik.uni-stuttgart.de