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Results: 356
Number of items: 356
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Veen, L. E., & Hoekstra, A. G. (2020). Easing Multiscale Model Design and Coupling with MUSCLE 3. In V. V. Krzhizhanovskaya, G. Závodszky, M. H. Lees, J. J. Dongarra, P. M. A. Sloot, S. Brissos, & J. Teixeira (Eds.), Computational Science – ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3–5, 2020 : proceedings (Vol. VI, pp. 425-438). (Lecture Notes in Computer Science; Vol. 12142). Springer. https://doi.org/10.1007/978-3-030-50433-5_33 -
van Rooij, B. J. M., Závodszky, G., Hoekstra, A. G., & Ku, D. N. (2020). Biorheology of occlusive thrombi formation under high shear: in vitro growth and shrinkage. Scientific Reports, 10, Article 18604. https://doi.org/10.1038/s41598-020-74518-7 -
de Vries, K., Nikishova, A., Czaja, B., Závodszky, G., & Hoekstra, A. G. (2020). Inverse Uncertainty Quantification of a cell model using a Gaussian Process metamodel. International Journal for Uncertainty Quantification, 10(4), 333-349. https://doi.org/10.1615/Int.J.UncertaintyQuantification.2020033186 -
Shibeko, A. M., Chopard, B., Hoekstra, A. G., & Panteleev, M. A. (2020). Redistribution of TPA Fluxes in the Presence of PAI-1 Regulates Spatial Thrombolysis. Biophysical Journal, 119(3), 638-651. https://doi.org/10.1016/j.bpj.2020.06.020 -
Nikishova, A., & Hoekstra, A. G. (2019). Semi-intrusive uncertainty propagation for multiscale models. Journal of Computational Science, 35, 80-90. https://doi.org/10.1016/j.jocs.2019.06.007
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