| Certified reduced basis method in geosciences: addressing the challenge of high-dimensional problems D Degen, K Veroy, F Wellmann Computational Geosciences 24 (1), 241-259, 2020 | 22 | 2020 |
| Global sensitivity analysis to optimize basin-scale conductive model calibration–A case study from the Upper Rhine Graben D Degen, K Veroy, J Freymark, M Scheck-Wenderoth, T Poulet, ... Geothermics 95, 102143, 2021 | 13 | 2021 |
| Productivity enhancement of geothermal wells through fault zones: Efficient numerical evaluation of a parameter space for the Upper Jurassic aquifer of the North Alpine … F Konrad, A Savvatis, D Degen, F Wellmann, F Einsiedl, K Zosseder Geothermics 95, 102119, 2021 | 11 | 2021 |
| Crustal-scale thermal models: Revisiting the influence of deep boundary conditions D Degen, K Veroy, M Scheck-Wenderoth, F Wellmann Environmental Earth Sciences 81 (3), 88, 2022 | 8 | 2022 |
| 3D multi-physics uncertainty quantification using physics-based machine learning D Degen, M Cacace, F Wellmann Scientific Reports 12 (1), 17491, 2022 | 6 | 2022 |
| Uncertainty quantification for basin-scale geothermal conduction models D Degen, K Veroy, F Wellmann Scientific reports 12 (1), 4246, 2022 | 6 | 2022 |
| Perspectives of physics-based machine learning for geoscientific applications governed by partial differential equations D Degen, D Caviedes Voullième, S Buiter, HJ Hendriks Franssen, ... Geoscientific Model Development Discussions 2023, 1-50, 2023 | 5 | 2023 |
| How biased are our models?–a case study of the alpine region D Degen, C Spooner, M Scheck-Wenderoth, M Cacace Geoscientific Model Development 14 (11), 7133-7153, 2021 | 5 | 2021 |
| Global Sensitivity Analysis to Optimize Basin-Scale Conductive Model Calibration-Insights on the Upper Rhine Graben D Degen, K Veroy, J Freymark, M Scheck-Wenderoth, F Wellmann OSF, 2020 | 5 | 2020 |
| Application of the reduced basis method in geophysical simulations: concepts, implementation, advantages, and limitations D Degen Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2020, 2020 | 5 | 2020 |
| Effects of transient processes for thermal simulations of the Central European Basin D Degen, M Cacace Geoscientific Model Development 14 (3), 1699-1719, 2021 | 3 | 2021 |
| A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models N Aretz, P Chen, D Degen, K Veroy Journal of Computational Physics 498, 112599, 2024 | 2 | 2024 |
| Uncertainty quantification for basin-scale conductive models D Degen, K Veroy, F Wellmann Authorea Preprints, 2022 | 2 | 2022 |
| State-of-the-art physics-based machine learning for hydro-mechanical simulation in geothermal applications R Santoso, D Degen, M Cacace, F Wellmann European Geothermal Congress, 1-10, 2022 | 2 | 2022 |
| How Uncertainty Quantification and Reduced Order Modeling Change our Model Understanding D Degen, K Veroy, F Wellmann AGU Fall Meeting Abstracts 2020, T015-0002, 2020 | 2 | 2020 |
| A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems N Aretz, P Chen, D Degen, K Veroy arXiv preprint arXiv:2301.12019, 2023 | 1 | 2023 |
| Perspectives of physics-based machine learning strategies for geoscientific applications governed by partialdifferential equations D Degen, D Caviedes Voullième, S Buiter, HJ Hendricks Franssen, ... Geoscientific Model Development 16 (24), 7375-7409, 2023 | 1 | 2023 |
| Effects of Transient Processes for Thermal Simulations of the Central European Basin D Degen, M Cacace Geoscientific Model Development Discussions 2020, 1-27, 2020 | 1 | 2020 |
| Certified Reduced Basis Method in Geosciences Addressing the challenge of high dimensional problems D Degen, K Veroy, F Wellmann EarthArXiv, 2019 | 1 | 2019 |
| The Reduced Basis Method in Geosciences: Practical examples for numerical forward simulations D Degen, K Veroy, F Wellmann | 1 | 2017 |
J. Florian WellmannUniv.-Prof. RWTH Aachen University在 aices.rwth-aachen.de 的电子邮件经过验证
