Papers matching “physics-guided machine learning” 34
Not finding it? Sign in to also search OpenAlex live.
-
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 -
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 -
Physics-guided laminar flame speed correlation for methane–hydrogen–air mixtures with varying dilution2026 International Journal of Hydrogen Energy article Engineering Combustion and flame dynamics Open access
Raik Hesse, Christian Felix Schwenzer, Roman Glaznev, Florence Cameron, Heinz G. Pitsch, Joachim Beeckmann
0citations -
Improving the Timing Resolution of Positron Emission Tomography Detectors Using Boosted Learning—A Residual Physics Approach2023 IEEE Transactions on Neural Networks and Learning Systems article Medicine Medical Imaging Techniques and Applications Open access
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller
24citations