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Physics-based machine learning for modeling thermo-hydraulic processes in a coaxial deep borehole heat exchanger, considering an explicit reservoir-wellbore representation: A case study of Cornwall, UK
Dimitra Teza, Ryan Santoso, Nora Koltzer, Denise Degen, Tony Bennett, Florian Wellmann
0citations -
Distortion-aware physics-based impedance modeling of commercial Li-ion batteries under non-ideal excitation signals2026 Electrochemistry Communications article Engineering Advanced Battery Technologies Research Open access
Xu Chen, Dmitri L. Danilov, Tobias Frahm, Florian Rittweger, Thorben Schüthe, Karl-Ragmar Riemschneider, +5 more
2citations -
Combining Data-driven and Physics-based Process Models for Hybrid Model Predictive Control of Building Energy Systems2022 2006 14th Mediterranean Conference on Control and Automation conference-paper Engineering Building Energy and Comfort Optimization
Phillip Stoffel, Charlotte Löffler, Steffen Eser, Alexander Kümpel, Dirk Müller
5citations -
Physics-Based Compact Modeling of the Transfer Current in III-V DHBTs with the Generalized Integral Charge Control Relation2023 IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium (BCICTS) conference-paper Engineering Advancements in Semiconductor Devices and Circuit Design
Markus A. Müller, Mario Krattenmacher, Hendrik Leenders, Sara Hamzeloui, C. R. Bolognesi, Christoph Jungemann, +1 more
4citations -
Distortion-aware physics-based impedance modeling of commercial Li-ion batteries under non-ideal excitation signals2026 Electrochemistry Communications article Engineering Advanced Battery Technologies Research Open access
Xiaoxuan Chen, Dmitri L. Danilov, Tobias Frahm, Florian Rittweger, Thorben Schüthe, Karl-Ragmar Riemschneider, +5 more
0citations -
Distortion-aware physics-based impedance modeling of commercial Li-ion batteries under non-ideal excitation signals2026 Electrochemistry Communications article Engineering Advanced Battery Technologies Research Open access
Xiaoxuan Chen, Dmitri L. Danilov, Tobias Frahm, Florian Rittweger, Thorben Schüthe, Karl-Ragmar Riemschneider, +4 more
0citations -
Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations2023 Geoscientific model development article Physics and Astronomy Model Reduction and Neural Networks Open access
Denise Degen, Daniel Caviedes‐Voullième, Susanne Buiter, Harrie‐Jan Hendricks Franssen, Harry Vereecken, Ana González‐Nicolás, +1 more
39citations