Search results
Results: 355
Number of items: 355
-
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 -
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 -
Hoekstra, A. G., Portegies Zwart, S., & Coveney, P. V. (2019). Multiscale modelling, simulation and computing: from the desktop to the exascale. Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences, 377(2142), Article 20180355. https://doi.org/10.1098/rsta.2018.0355 -
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 -
Alowayyed, S., Vassaux, M., Czaja, B., Coveney, P. V., & Hoekstra, A. G. (2019). Towards heterogeneous multi-scale computing on large scale parallel supercomputers. Supercomputing Frontiers and Innovations, 6(4), 20-43. https://doi.org/10.14529/jsfi190402 -
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 -
Alowayyed, S., Piontek, T., Suter, J. L., Hoenen, O., Groen, D., Luk, O., Bosak, B., Kopta, P., Kurowski, K., Perks, O., Brabazon, K., Jancauskas, V., Coster, D., Coveney, P. V., & Hoekstra, A. G. (2019). Patterns for High Performance Multiscale Computing. Future Generation Computer Systems, 91, 335-346. https://doi.org/10.1016/j.future.2018.08.045 -
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 -
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 -
Závodszky, G., van Rooij, B., Czaja, B., Azizi, V., de Kanter, D., & Hoekstra, A. G. (2019). Red blood cell and platelet diffusivity and margination in the presence of cross-stream gradients in blood flows. Physics of Fluids, 31(3), Article 031903. https://doi.org/10.1063/1.5085881
Page 8 of 36