Follow
Dongwei Ye
Title
Cited by
Cited by
Year
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
D Ye, P Zun, V Krzhizhanovskaya, AG Hoekstra
Journal of the Royal Society Interface 19 (187), 20210864, 2022
202022
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model
D Ye, A Nikishova, L Veen, P Zun, AG Hoekstra
Reliability Engineering & System Safety 214, 107734, 2021
172021
Uncertainty quantification patterns for multiscale models
D Ye, L Veen, A Nikishova, J Lakhlili, W Edeling, OO Luk, ...
Philosophical Transactions of the Royal Society A 379 (2197), 20200072, 2021
102021
Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit
D Suleimenova, H Arabnejad, WN Edeling, D Coster, OO Luk, J Lakhlili, ...
Journal of Computational Science 53, 101402, 2021
72021
Data-driven reduced-order modelling for blood flow simulations with geometry-informed snapshots
D Ye, V Krzhizhanovskaya, AG Hoekstra
Journal of Computational Physics 497, 112639, 2024
12024
Inverse uncertainty quantification of a mechanical model of arterial tissue with surrogate modelling
S Kakhaia, P Zun, D Ye, V Krzhizhanovskaya
Reliability Engineering & System Safety 238, 109393, 2023
12023
Gaussian process learning of nonlinear dynamics
D Ye, M Guo
arXiv preprint arXiv:2312.12193, 2023
2023
Bayesian approach to Gaussian process regression with uncertain inputs
D Ye, M Guo
arXiv preprint arXiv:2305.11586, 2023
2023
Surrogate modelling and uncertainty quantification for multiscale simulation
D Ye
PhD Thesis, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–9