Predicting the dynamics of bacterial growth inhibition by ribosome-targeting antibiotics P Greulich, J Doležal, M Scott, MR Evans, RJ Allen Physical biology 14 (6), 065005, 2017 | 29 | 2017 |
Large deviations and optimal control forces for hard particles in one dimension J Dolezal, RL Jack Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 123208, 2019 | 24 | 2019 |
Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library R Adhikari, A Bolitho, F Caballero, ME Cates, J Dolezal, T Ekeh, J Guioth, ... arXiv preprint arXiv:2005.09625, 2020 | 17 | 2020 |
Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19 YI Li, G Turk, PB Rohrbach, P Pietzonka, J Kappler, R Singh, J Dolezal, ... Royal Society Open Science 8 (8), 211065, 2021 | 12 | 2021 |
Long-ranged correlations in large deviations of local clustering J Dolezal, RL Jack Physical Review E 103 (5), 052132, 2021 | 4 | 2021 |
Mechanical analysis of a dynamical phase transition for particles in a channel J Dolezal, RL Jack Physical Review Research 4 (3), 033134, 2022 | 3 | 2022 |
Dynamical large deviations and phase separation in systems of interacting particles J Dolezal | | 2022 |
Research data supporting'" Long-ranged correlations in large deviations of local clustering" J Dolezal, R Jack | | 2022 |
Data for" Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19" YI Li, G Turk, P Rohrbach, P Pietzonka, J Kappler, R Singh, J Dolezal, ... | | 2021 |
Research data supporting'Large deviations and optimal control forces for hard particles in one dimension' J Dolezal, R Jack | | 2020 |