Search results
Results: 358
Number of items: 358
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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 -
van Rooij, B. J. M., Závodszky, G., Azizi Tarksalooyeh, V. W., & Hoekstra, A. G. (2019). Identifying the start of a platelet aggregate by the shear rate and the cell-depleted layer. Journal of the Royal Society Interface, 16(159), Article 20190148. https://doi.org/10.1098/rsif.2019.0148 -
Zun, P. S., Narracott, A. J., Chiastra, C., Gunn, J., & Hoekstra, A. G. (2019). Location-Specific Comparison Between a 3D In-Stent Restenosis Model and Micro-CT and Histology Data from Porcine In Vivo Experiments. Cardiovascular Engineering and Technology, 10(4), 568–582. https://doi.org/10.1007/s13239-019-00431-4 -
Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2019). Semi-intrusive multiscale metamodelling uncertainty quantification with application to a model of in-stent restenosis. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 377(2142), Article 2018154. https://doi.org/10.1098/rsta.2018.0154 -
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 -
Sivadasan, V., Lorenz, E., Hoekstra, A. G., & Bonn, D. (2019). Shear thickening of dense suspensions: The role of friction. Physics of Fluids, 31(10), Article 103103. https://doi.org/10.1063/1.5121536 -
Olde Rikkert, M. G. M., van Zuijlen, P. P. M., de Kleuver, M., van Reekum, A., Hoekstra, A. G., & Sloot, P. M. A. (2019). Complexiteit van ziekten: Een moderne visie in tijden van vergrijzing en multimorbiditeit. Nederlands Tijdschrift voor Geneeskunde, 163(35), Article D3970. https://www.ntvg.nl/artikelen/complexiteit-van-ziekten -
Hoekstra, A. G., Chopard, B., Coster, D., Portegies Zwart, S., & Coveney, P. V. (2019). Multiscale computing for science and engineering in the era of exascale performance. Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences, 377(2142), Article 20180144. https://doi.org/10.1098/rsta.2018.0144 -
Azizi Tarksalooyeh, V., Závodszky, G., & Hoekstra, A. G. (2019). Optimizing Parallel Performance of the Cell Based Blood Flow Simulation Software HemoCell. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019 : proceedings (Vol. III, pp. 537-547). (Lecture Notes in Computer Science; Vol. 11538). Springer. https://doi.org/10.1007/978-3-030-22744-9_42
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