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Stochastic simulation of reaction-diffusion processes in molecular biology
Stochastic simulation of reaction-diffusion processes in molecular biology
Recent papers
P Lötstedt, The Linear Noise Approximation for spatially dependent biochemical networks, Bull Math Biol, 81 (2019), 2873-2901. S Engblom, P Lötstedt, L Meinecke, Mesoscopic modeling of random walk and reactions in crowded media, Phys Rev E, 98 (2018), 033304. Z Bashardanesh, P Lötstedt, Efficient Green's Function Reaction Dynamics (GFRD) simulations for diffusion limited reversible reactions, J Comput Phys, 357 (2018), 78-99. S Engblom, A Hellander, P Lötstedt, Multiscale simulation of stochastic reaction-diffusion networks, in Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, ed. D Holcman, pp 55-79, Springer, Cham, 2017. A Hellander, J Klosa, P Lötstedt, S MacNamara, Robustness analysis of spatiotemporal models in the presence of extrinsic fluctuations, SIAM J Appl Math, 77 (2017), 1157-1183. B Drawert, A Hellander, B Bales, D Banerjee, G Bellesia, B Daigle, G Douglas, M Gu, A Gupta, S Hellander, C Horuk, G Narayanasamy, D Nath, S Wu, P Lötstedt, C Krintz, L Petzold, Stochastic Simulation Service: Bridging the gap between the computational expert and the biologist, PLoS Comput. Biol., 12 (2016), e1005220. E Blanc, S Engblom, A Hellander, P Lötstedt, Mesoscopic modeling of stochastic reaction-diffusion kinetics in the subdiffusive regime, revision in Multiscale Model. Simul., 14 (2016), 668-707. L Meinecke, S Engblom, A Hellander, P Lötstedt, Analysis and design of jump coefficients in discrete stochastic diffusion models, revision in SIAM J. Sci. Comput., 38 (2016), A55-A83. L Meinecke, P Lötstedt, Stochastic Diffusion Processes on Cartesian Meshes, J. Comput. Appl. Math., 294 (2016), 1-11. P Lötstedt, L Meinecke, Simulation of Stochastic Diffusion via First Exit Times, revised version in J. Comput. Phys., 300 (2015), 862-886.
Ice sheet and ice shelf modeling
Recent papers
G Cheng, P Lötstedt, L von Sydow, A full Stokes subgrid scheme in two dimensions for simulation of grounding line migration in ice sheets using Elmer/ICE (v8.3), Geosci. Model Dev., 13 (2020), 2245-2258. G Cheng, P Lötstedt, Parameter sensitivity analysis of dynamic ice sheet models-numerical computations, Cryosphere, 14 (2020), 673-691. S Marchenko, G Cheng, P Lötstedt, V Pohjola, R Pettersson, W van Pelt, C Reijmer, Thermal conductivity of firn at Lomonosovfonna, Svalbard, derived from subsurface temperature measurements, Cryosphere, 13 (2019), 1843-1859. E van Dongen, N Kirchner, M van Gijzen, R van de Wal, T Zwinger, G Cheng, P Lötstedt, L von Sydow, Dynamically coupling full Stokes and shallow shelf approximation for marine ice sheet flow using Elmer/Ice (v8.3), Geosci. Model Dev., 11 (2018), 4563-4576. G Cheng, P Lötstedt, L von Sydow, Accurate and stable time stepping in ice sheet modeling, J. Comput. Phys., 329 (2017), 29-47. N Kirchner, J Ahlkrona, E J Gowan, P Lötstedt, J M Lea, R Noormets, L von Sydow, J A Dowdeswell, T Benham, Shallow Ice Approximation, Second Order Shallow Ice Approximation and Full Stokes models: a discussion of their roles in palaeo-ice sheet modelling and development, Quat. Sci. Rev., 135 (2016), 103-114. J Ahlkrona, P Lötstedt, N Kirchner, T Zwinger, Dynamically coupling the non-linear Stokes equations with the Shallow Ice Approximation in glaciology: Description and first applications of the ISCAL method, revised version in J. Comput. Phys., 308 (2016), 1-19. J Ahlkrona, N Kirchner, P Lötstedt, A numerical study of scaling relations for non-Newtonian thin film flows with applications in ice sheet modeling, Quart. J. Mech. Appl. Math., 66 (2013), 417-435. J Ahlkrona, N Kirchner, P Lötstedt, Accuracy of the zeroth and second order shallow ice approximation - Numerical and theoretical results, Geosci. Model Dev., 6 (2013), 2135-2152.
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© Britta Lötstedt och Johanna Wedin 2006 |