| Applications of the cross-entropy method to importance sampling and optimal control of diffusions W Zhang, H Wang, C Hartmann, M Weber, C Schütte SIAM Journal on Scientific Computing 36 (6), A2654-A2672, 2014 | 79 | 2014 |
| Effective dynamics along given reaction coordinates, and reaction rate theory W Zhang, C Hartmann, C Schütte Faraday discussions 195, 365-394, 2016 | 72 | 2016 |
| Variational characterization of free energy: Theory and algorithms C Hartmann, L Richter, C Schütte, W Zhang Entropy 19 (11), 626, 2017 | 57 | 2017 |
| Numerical study for the nucleation of one-dimensional stochastic Cahn-Hilliard dynamics T Li, P Zhang, W Zhang Communications in Mathematical Sciences 10 (4), 1105-1132, 2012 | 35 | 2012 |
| Model reduction algorithms for optimal control and importance sampling of diffusions C Hartmann, C Schütte, W Zhang Nonlinearity 29 (8), 2298, 2016 | 33 | 2016 |
| Optimal control of multiscale systems using reduced-order models W Zhang, JC Latorre, GA Pavliotis, C Hartmann Journal of Computational Dynamics 1 (2), 279-306, 2014 | 31 | 2014 |
| Importance sampling in path space for diffusion processes with slow-fast variables C Hartmann, C Schütte, M Weber, W Zhang Probability Theory and Related Fields 170 (1), 177-228, 2018 | 29 | 2018 |
| Nucleation Rate Calculation for the Phase Transition of Diblock Copolymers under Stochastic Cahn--Hilliard Dynamics T Li, P Zhang, W Zhang Multiscale Modeling & Simulation 11 (1), 385-409, 2013 | 22 | 2013 |
| Solving eigenvalue PDEs of metastable diffusion processes using artificial neural networks W Zhang, T Li, C Schütte Journal of Computational Physics 465, 111377, 2022 | 21 | 2022 |
| Multiple projection Markov chain Monte Carlo algorithms on submanifolds T Lelièvre, G Stoltz, W Zhang IMA Journal of Numerical Analysis 43 (2), 737-788, 2023 | 20* | 2023 |
| Ergodic SDEs on submanifolds and related numerical sampling schemes W Zhang ESAIM: Mathematical Modelling and Numerical Analysis, 2018 | 17 | 2018 |
| Reliable approximation of long relaxation timescales in molecular dynamics W Zhang, C Schütte Entropy 19 (7), 2017 | 17 | 2017 |
| Jarzynski’s equality, fluctuation theorems, and variance reduction: Mathematical analysis and numerical algorithms C Hartmann, C Schütte, W Zhang Journal of Statistical Physics 175, 1214-1261, 2019 | 16 | 2019 |
| Pathwise estimates for effective dynamics: the case of nonlinear vectorial reaction coordinates T Lelièvre, W Zhang Multiscale Modeling & Simulation 17 (3), 1019-1051, 2019 | 16 | 2019 |
| Statistical analysis of the first passage path ensemble of jump processes M von Kleist, C Schütte, W Zhang Journal of Statistical Physics 170 (4), 809–843, 2018 | 12 | 2018 |
| Analyzing multimodal probability measures with autoencoders T Lelièvre, T Pigeon, G Stoltz, W Zhang The Journal of Physical Chemistry B 128 (11), 2607-2631, 2024 | 8 | 2024 |
| A 3D parallel Monte Carlo simulator for semiconductor devices W Zhang, G Du, Q Li, A Zhang, Z Mo, X Liu, P Zhang 2009 13th International Workshop on Computational Electronics, 1-4, 2009 | 8 | 2009 |
| Non-reversible sampling schemes on submanifolds U Sharma, W Zhang Siam J. Numer. Anal. 59 (6), 2989-3031, 2021 | 7 | 2021 |
| EPR-Net: constructing a non-equilibrium potential landscape via a variational force projection formulation Y Zhao, W Zhang, T Li National Science Review 11 (7), nwae052, 2024 | 6 | 2024 |
| Understanding recent deep‐learning techniques for identifying collective variables of molecular dynamics W Zhang, C Schütte PAMM 23 (4), e202300189, 2023 | 5 | 2023 |
Carsten HartmannProfessor of Mathematics, BTU Cottbus-SenftenbergEmail verificata su b-tu.de
