Papers matching “machine learning framework” 43
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 -
Deep learning framework for enhanced neutrino reconstruction of single-line events in the ANTARES telescope2026 Machine Learning Science and Technology article Physics and Astronomy Neutrino Physics Research Open access
A. Albert, M. Ardid, S. Ardid, J.J. Aubert, J. Aublin, B. Baret, +91 more
0citations -
A machine learning approach to mapping baryons on to dark matter haloes using the eagle and C-EAGLE simulations2021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Christopher C. Lovell, Stephen M. Wilkins, Matthieu Schaller, C. M. Baugh, Giulio Fabbian, Yannick M Bahé
47citations -
Euclid preparation - LXVIII. Extracting physical parameters from galaxies with machine learning2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
I. Kovačić, M. Baes, Angelos Nersesian, Nick Andreadis, L. Nemani, Laura Bisigello, +78 more
0citations -
Run 3 commissioning results of heavy-flavor jet tagging at $\sqrt{s}=$ 13.6 TeV with CMS data using a modern framework for data processing0citations
-
Machine learning driven reconstruction of cosmic-ray air showers for next generation radio arrays2025 International Cosmic Ray Conference conference-paper Physics and Astronomy Astrophysics and Cosmic Phenomena Open access
Paras Koundal, M. Ackermann, Jenni Adams, Sanjib Kumar Agarwalla, Juanan Aguilar, M. Ahlers, +91 more
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 Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Stephan Naunheim, Yannick Kuhl, David Schug, Volkmar Schulz, Florian Mueller
24citations -
Learning pole structures of hadronic states using predictive uncertainty estimation2026 Physical review. D/Physical review. D. article Physics and Astronomy Quantum Chromodynamics and Particle Interactions Open access
Felix Frohnert, Denny Lane B. Sombillo, Evert van Nieuwenburg, Patrick Emonts
1citations -
Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical non-equilibrium2022 RWTH Publications (RWTH Aachen) article Physics and Astronomy Model Reduction and Neural Networks Open access
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
1citations -
Search for Supersymmetry in single lepton events and reinterpretation in the pMSSM-19 framework2025 Large Hadron Collider Physics Conference (LHCP) conference-paper Physics and Astronomy Particle physics theoretical and experimental studies Open access
Frederic Engelke, Kerstin Borras, Dirk Krücker, Isabell-Alissandra Melzer-Pellmann, Lucas Wiens
0citations -
Data-driven framework for input/output lookup tables reduction: Application to hypersonic flows in chemical nonequilibrium2023 Physical Review Fluids article Physics and Astronomy Model Reduction and Neural Networks Open access
Clément Scherding, Georgios Rigas, Denis Sipp, Peter J. Schmid, Taraneh Sayadi
17citations -
Drug Design in the Exascale Era: A Perspective from Massively Parallel QM/MM Simulations2023 Journal of Chemical Information and Modeling article Physics and Astronomy Advanced Chemical Physics Studies Open access
Bharath Raghavan, Mirko Paulikat, Katya Ahmad, Lara Callea, Andrea Rizzi, Emiliano Ippoliti, +4 more
58citations