| An adaptive minimum spanning tree multielement method for uncertainty quantification of smooth and discontinuous responses YV Halder, B Sanderse, B Koren SIAM Journal on Scientific Computing 41 (6), A3624-A3648, 2019 | 15 | 2019 |
| Machine learning for closure models in multiphase-flow applications J Buist, B Sanderse, Y van Halder, B Koren, GJ van Heijst Crete, Greece, 2019 | 10 | 2019 |
| Multi-level neural networks for PDEs with uncertain parameters Y van Halder, B Sanderse, B Koren arXiv preprint arXiv:2004.13128, 2020 | 3 | 2020 |
| Adaptive control of turbulence intensity is accelerated by frugal flow sampling DB Quinn, Y Van Halder, D Lentink Journal of The Royal Society Interface 14 (136), 20170621, 2017 | 3 | 2017 |
| Efficient Sampling and Solver Enhancement for Uncertainty Quantification Y van Halder | | 2022 |
| Intrusive deconvolutional neural networks for enhancing PIC/FLIP solutions Y van Halder, B Sanderse, B Koren arXiv preprint arXiv:2106.03491, 2021 | | 2021 |
| Pde/pdf-informed adaptive sampling for efficient nonintrusive surrogate modeling Y van Halder, B Sanderse, B Koren International Journal for Uncertainty Quantification 11 (6), 2021 | | 2021 |
| Heat transfer in a tokamak Y van Halder | | 2016 |
| Godunov Method for the Euler Equations Y van Halder, B Koren | | 2014 |