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Publications (10 of 117) Show all publications
Lötstedt, P. (2019). The linear noise approximation for spatially dependent biochemical networks. Bulletin of Mathematical Biology, 81
Open this publication in new window or tab >>The linear noise approximation for spatially dependent biochemical networks
2019 (English)In: Bulletin of Mathematical Biology, ISSN 0092-8240, E-ISSN 1522-9602, Vol. 81Article in journal (Refereed) Epub ahead of print
National Category
Computational Mathematics Biochemistry and Molecular Biology
Identifiers
urn:nbn:se:uu:diva-351228 (URN)10.1007/s11538-018-0428-0 (DOI)
Projects
eSSENCE
Available from: 2018-04-11 Created: 2018-05-21 Last updated: 2018-11-29Bibliographically approved
van Dongen, E. C. H., Kirchner, N., van Gijzen, M. B., van de Wal, R. S. W., Zwinger, T., Cheng, G., . . . von Sydow, L. (2018). Dynamically coupling full Stokes and shallow shelf approximation for marine ice sheet flow using Elmer/Ice (v8.3). Geoscientific Model Development, 11, 4563-4576
Open this publication in new window or tab >>Dynamically coupling full Stokes and shallow shelf approximation for marine ice sheet flow using Elmer/Ice (v8.3)
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2018 (English)In: Geoscientific Model Development, ISSN 1991-959X, E-ISSN 1991-9603, Vol. 11, p. 4563-4576Article in journal (Refereed) Published
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-363123 (URN)10.5194/gmd-11-4563-2018 (DOI)000450295700001 ()
Projects
eSSENCE
Available from: 2018-11-16 Created: 2018-10-12 Last updated: 2019-01-24Bibliographically approved
Bashardanesh, Z. & Lötstedt, P. (2018). Efficient Green's function reaction dynamics (GFRD) simulations for diffusion-limited, reversible reactions. Journal of Computational Physics, 357, 78-99
Open this publication in new window or tab >>Efficient Green's function reaction dynamics (GFRD) simulations for diffusion-limited, reversible reactions
2018 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 357, p. 78-99Article in journal (Refereed) Published
National Category
Computational Mathematics Bioinformatics (Computational Biology)
Identifiers
urn:nbn:se:uu:diva-338758 (URN)10.1016/j.jcp.2017.12.025 (DOI)000427393800004 ()
Available from: 2017-12-21 Created: 2018-01-12 Last updated: 2018-06-08Bibliographically approved
Engblom, S., Lötstedt, P. & Meinecke, L. (2018). Mesoscopic modeling of random walk and reactions in crowded media. Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, 98, 033304:1-16, Article ID 033304.
Open this publication in new window or tab >>Mesoscopic modeling of random walk and reactions in crowded media
2018 (English)In: Physical Review E. Statistical, Nonlinear, and Soft Matter Physics, ISSN 1539-3755, E-ISSN 1550-2376, Vol. 98, p. 033304:1-16, article id 033304Article in journal (Refereed) Published
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-360450 (URN)10.1103/PhysRevE.98.033304 (DOI)000444574600010 ()
Projects
UPMARCeSSENCE
Available from: 2018-09-11 Created: 2018-09-13 Last updated: 2018-11-15Bibliographically approved
Cheng, G., Lötstedt, P. & von Sydow, L. (2017). Accurate and stable time stepping in ice sheet modeling. Journal of Computational Physics, 329, 29-47
Open this publication in new window or tab >>Accurate and stable time stepping in ice sheet modeling
2017 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 329, p. 29-47Article in journal (Refereed) Published
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-309278 (URN)10.1016/j.jcp.2016.10.060 (DOI)000390511500003 ()
Projects
eSSENCE
Available from: 2016-11-02 Created: 2016-12-02 Last updated: 2017-11-29Bibliographically approved
Engblom, S., Hellander, A. & Lötstedt, P. (2017). Multiscale simulation of stochastic reaction–diffusion networks. In: Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology: (pp. 55-79). Springer
Open this publication in new window or tab >>Multiscale simulation of stochastic reaction–diffusion networks
2017 (English)In: Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology, Springer, 2017, p. 55-79Chapter in book (Refereed)
Place, publisher, year, edition, pages
Springer, 2017
National Category
Computational Mathematics Biochemistry and Molecular Biology
Identifiers
urn:nbn:se:uu:diva-331828 (URN)10.1007/978-3-319-62627-7_3 (DOI)978-3-319-62626-0 (ISBN)
Projects
eSSENCE
Available from: 2017-10-05 Created: 2017-10-18 Last updated: 2018-11-12Bibliographically approved
Hellander, A., Klosa, J., Lötstedt, P. & MacNamara, S. (2017). Robustness analysis of spatiotemporal models in the presence of extrinsic fluctuations. SIAM Journal on Applied Mathematics, 77, 1157-1183
Open this publication in new window or tab >>Robustness analysis of spatiotemporal models in the presence of extrinsic fluctuations
2017 (English)In: SIAM Journal on Applied Mathematics, ISSN 0036-1399, E-ISSN 1095-712X, Vol. 77, p. 1157-1183Article in journal (Refereed) Published
National Category
Computational Mathematics Biochemistry and Molecular Biology
Identifiers
urn:nbn:se:uu:diva-326829 (URN)10.1137/15M1052317 (DOI)000408945700004 ()
Projects
eSSENCE
Available from: 2017-07-27 Created: 2017-07-31 Last updated: 2017-12-08Bibliographically approved
Meinecke, L., Engblom, S., Hellander, A. & Lötstedt, P. (2016). Analysis and design of jump coefficients in discrete stochastic diffusion models. SIAM Journal on Scientific Computing, 38, A55-A83
Open this publication in new window or tab >>Analysis and design of jump coefficients in discrete stochastic diffusion models
2016 (English)In: SIAM Journal on Scientific Computing, ISSN 1064-8275, E-ISSN 1095-7197, Vol. 38, p. A55-A83Article in journal (Refereed) Published
National Category
Computational Mathematics Biochemistry and Molecular Biology
Identifiers
urn:nbn:se:uu:diva-272192 (URN)10.1137/15M101110X (DOI)000371235600003 ()
Projects
UPMARCeSSENCE
Available from: 2016-01-06 Created: 2016-01-12 Last updated: 2018-11-12Bibliographically approved
Ahlkrona, J., Lötstedt, P., Kirchner, N. & Zwinger, T. (2016). Dynamically coupling the non-linear Stokes equations with the shallow ice approximation in glaciology: Description and first applications of the ISCAL method. Journal of Computational Physics, 308, 1-19
Open this publication in new window or tab >>Dynamically coupling the non-linear Stokes equations with the shallow ice approximation in glaciology: Description and first applications of the ISCAL method
2016 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 308, p. 1-19Article in journal (Refereed) Published
National Category
Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-269822 (URN)10.1016/j.jcp.2015.12.025 (DOI)000369086700001 ()
Projects
eSSENCE
Available from: 2015-12-17 Created: 2015-12-18 Last updated: 2017-12-01Bibliographically approved
Blanc, E., Engblom, S., Hellander, A. & Lötstedt, P. (2016). Mesoscopic modeling of stochastic reaction–diffusion kinetics in the subdiffusive regime. Multiscale Modeling & simulation, 14, 668-707
Open this publication in new window or tab >>Mesoscopic modeling of stochastic reaction–diffusion kinetics in the subdiffusive regime
2016 (English)In: Multiscale Modeling & simulation, ISSN 1540-3459, E-ISSN 1540-3467, Vol. 14, p. 668-707Article in journal (Refereed) Published
National Category
Computational Mathematics Biochemistry and Molecular Biology
Identifiers
urn:nbn:se:uu:diva-291970 (URN)10.1137/15M1013110 (DOI)000379356600004 ()
Projects
eSSENCEUPMARC
Available from: 2016-05-03 Created: 2016-05-03 Last updated: 2018-11-12Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-2143-3078

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