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del Razo, M.J. and Winkelmann, S. and Klein, R. and Höfling, F. (2023) Chemical diffusion master equation: formulations of reaction–diffusion processes on the molecular level. J. Math. Phys., 64 (013304).

Helfmann, L. and Djurdjevac Conrad, N. and Djurdjevac, A. and Winkelmann, S. and Schütte, Ch. (2021) From interacting agents to density-based modeling with stochastic PDEs. Commun. Appl. Math. Comput. Sci., 16 (1). pp. 1-32. ISSN Online: 2157-5452; Print: 1559-3940

Djurdjevac, N. and Helfmann, L. and Zonker, J. and Winkelmann, S. and Schütte, Ch. (2018) Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach. EPJ Data Science, 7 (1). p. 24.

Winkelmann, S. and Schütte, Ch. (2017) Hybrid models for chemical reaction networks: Multiscale theory and application to gene regulatory systems. Journal of Chemical Physics, 147 (11). pp. 1-18.

Winkelmann, S. (2017) Markov Control with Rare State Observation: Average Optimality. Markov Processes and Related Fields, 23 . pp. 1-34. ISSN 1024-2953

Winkelmann, S. and Schütte, Ch. (2016) The spatiotemporal master equation: approximation of reaction-diffusion dynamics via Markov state modeling. Journal of Chemical Physics, 145 (21). p. 214107.

Duwal, S. and Winkelmann, S. and Schütte, Ch. and von Kleist, M. (2015) Optimal treatment strategies in the context of 'treatment for prevention' against HIV-1 in resource-poor settings. PLOS Computational Biology, 11 . e1004200.

Winkelmann, S. and Schütte, Ch. and von Kleist, M. (2014) Markov Control Processes with Rare State Observation: Theory and Application to Treatment Scheduling in HIV-1. Communications in Mathematical Sciences, 12 (5). pp. 859-877. ISSN 1539-6746

Winkelmann, S. and Schütte, Ch. and von Kleist, M. (2013) Markov Control Processes with Rare State Observation: Sensitivity Analysis with Respect to Optimal Treatment Strategies against HIV-1. International Journal of Biomathematics and Biostatistics, 2 (1). ISSN 0973-7340

Schütte, Ch. and Winkelmann, S. and Hartmann, C. (2012) Optimal control of molecular dynamics using Markov state models. Math. Program. (Series B), 134 (1). pp. 259-282.