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Results: 8
Number of items: 8
  • Open Access
    Ye, D., Krzhizhanovskaya, V., & Hoekstra, A. G. (2024). Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots. Journal of computational Physics, 497, Article 112639. https://doi.org/10.1016/j.jcp.2023.112639
  • Open Access
    Kakhaia, S., Zun, P., Ye, D., & Krzhizhanovskaya, V. (2023). Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling. Reliability Engineering & System Safety, 238, Article 109393. https://doi.org/10.1016/j.ress.2023.109393
  • Open Access
    Ye, D., Zun, P., Krzhizhanovskaya, V., & Hoekstra, A. G. (2022). Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling. Journal of the Royal Society Interface, 19(187), Article 20210864. https://doi.org/10.1098/rsif.2021.0864
  • Open Access
    Ye, D. (2022). Surrogate modelling and uncertainty quantification for multiscale simulation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Ye, D., Zun, P., & Veen, L. (2021). ISR3D other inputs file for UQ tutorial paper [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4603912
  • Open Access
    Suleimenova, D., Arabnejad, H., Edeling, W. N., Coster, D., Luk, O. O., Lakhlili, J., Jancauskas, V., Kulczewski, M., Veen, L., Ye, D., Zun, P., Krzhizhanovskaya, V., Hoekstra, A., Crommelin, D., Coveney, P. V., & Groen, D. (2021). Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. Journal of Computational Science, 53, Article 101402. https://doi.org/10.1016/j.jocs.2021.101402
  • 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
    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
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