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Results: 11
Number of items: 11
  • Open Access
    Ye, D., Veen, L., Nikishova, A., Lakhlili, J., Edeling, W., Luk, O. O., Krzhizhanovskaya, V. V., & Hoekstra, A. G. (2021). Uncertainty quantification patterns for multiscale models. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200072. https://doi.org/10.1098/rsta.2020.0072
  • Open Access
    Groen, D., Arabnejad, H., Jancauskas, V., Edeling, W. N., Jansson, F., Richardson, R. A., Lakhlili, J., Veen, L., Bosak, B., Kopta, P., Wright, D. W., Monnier, N., Karlshoefer, P., Suleimenova, D., Sinclair, R., Vassaux, M., Nikishova, A., Bieniek, M., Luk, O. O., ... Coveney, P. V. (2021). VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations. Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences, 379(2197), Article 20200221. https://doi.org/10.1098/rsta.2020.0221
  • Open Access
    Ye, D., Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2021). Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model. Reliability Engineering and System Safety, 214, Article 107734. https://doi.org/10.1016/j.ress.2021.107734
  • Open Access
    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
  • Open Access
    Nikishova, A., Comi, G. E., & Hoekstra, A. G. (2020). Sensitivity analysis based dimension reduction of multiscale models. Mathematics and Computers in Simulation, 170, 205-220. https://doi.org/10.1016/j.matcom.2019.10.013
  • Open Access
    Nikishova, A. (2020). Uncertainty quantification of multiscale models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Groen, D., Richardson, R. A., Wright, D. W., Jancauskas, V., Sinclair, R., Karlshoefer, P., Vassaux, M., Arabnejad, H., Piontek, T., Kopta, P., Bosak, B., Lakhlili, J., Hoenen, O., Suleimenova, D., Edeling, W., Crommelin, D., Nikishova, A., & Coveney, P. V. (2019). Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations. 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. IV, pp. 479-492). (Lecture Notes in Computer Science; Vol. 11539). Springer. https://doi.org/10.1007/978-3-030-22747-0_36
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Nikishova, A., Veen, L., Zun, P., & Hoekstra, A. G. (2018). Uncertainty Quantification of a Multiscale Model for In-Stent Restenosis. Cardiovascular Engineering and Technology, 9(4), 761-774. https://doi.org/10.1007/s13239-018-00372-4
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