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Group by: Date | Item Type Number of items: 9. 2024Sikorski, Alexander and Ribera Borrell, Enric and Weber, Marcus (2024) Learning Koopman eigenfunctions of stochastic diffusions with optimal importance sampling and ISOKANN. Journal of Mathematical Physics, 65 (1). 2023Thies, Arne and Sunkara, Vikram and Ray, Sourav and Wulkow, Hanna and Özgür Celik, M. and Yergöz, Fatih and Schütte, Christof and Stein, Christoph and Weber, Marcus and Winkelmann, Stefanie (2023) Modelling altered signalling of G-protein coupled receptors in inflamed environment to advance drug design. Scientific Reports, 13 (1). p. 607. 2022Donati, Luca and Weber, Marcus and Keller, Bettina (2022) A review of Girsanov reweighting and of square root approximation for building molecular Markov state models. J. Math. Phys., 63 (12). pp. 1-22. 2021Sikorski, Alexander and Weber, Marcus and Schütte, Christof (2021) The augmented jump chain – a sparse representationof time-dependent Markov jump processes. Advanced Theory and Simulations, 4(4):2000274, 2021, 4 (4). Donati, Luca and Weber, Marcus and Keller, Bettina G. (2021) Markov models from the square root approximation of the Fokker–Planck equation: calculating the grid-dependent flux. J. Phys.: Condens. Matter, 33 . pp. 1-15. Sechi, Renata and Sikorski, Alexander and Weber, Marcus (2021) Estimation of the Koopman Generator by Newton's Extrapolation. Multiscale Modeling & Simulation, 19 (2). pp. 758-774. Sechi, Renata and Sikorski, Alexander and Weber, Marcus (2021) Estimation of the Koopman generator by Newton’s extrapolation. SIAM Multiscale Modeling & Simulation, 19 (2). pp. 758-774. ISSN print: 1540-3459; online: 1540-3467 2020Ray, Sourav and Sunkara, Vikram and Schütte, Christof and Weber, Marcus (2020) How to calculate pH-dependent binding rates for receptor–ligand systems based on thermodynamic simulations with different binding motifs. Molecular Simulation, 46 (18). pp. 1443-1452. 2013Lie, Han Cheng and Fackeldey, Konstantin and Weber, Marcus (2013) A Square Root Approximation of Transition Rates for a Markov State Model. SIAM Journal on Matrix Analysis and Applications, 34 (2). p. 738. ISSN 0895-4798 |
