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Multiwavelength Campaign Observations of a Young Solar-type Star, EK Draconis. II. Understanding Prominence Eruption through Data-driven Modeling and Observed Magnetic Environment2024 The Astrophysical Journal article Physics and Astronomy Stellar, planetary, and galactic studies Open access
Kosuke Namekata, Kai Ikuta, Pascal M. Petit, Vladimir Airapetian, A. A. Vidotto, Petr Heinzel, +12 more
16citations -
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 -
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 -
Improving performance estimation of a PCM-integrated solar chimney through reduced-order based data assimilation2026 International Journal of Numerical Methods for Heat & Fluid Flow article Physics and Astronomy Model Reduction and Neural Networks Open access
Diego R. Rivera, Ernesto F. Castillo, Douglas R. Q. Pacheco, Felipe Galarce
1citations -
Comparison of deep learning and hand crafted features for mining simulation data2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Physics and Astronomy Model Reduction and Neural Networks
Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew
1citations -
ZipGAN: Super-Resolution-based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Ludovico Nista, Christoph Schumann, Fabian Fröde, Mohamed Gowely, Temistocle Grenga, Jonathan F. MacArt, +2 more
0citations -
Unsupervised Data Analysis of Direct Numerical Simulation of a Turbulent Flame via Local Principal Component Analysis and Procustes Analysis2020 Advances in intelligent systems and computing conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Antonio Attili, Alberto Cuoci, Heinz G. Pitsch, Alessandro Parente
2citations -
ZipGAN: Super-Resolution-Based Generative Adversarial Network Framework for Data Compression of Direct Numerical Simulations2025 Lecture notes in computational science and engineering conference-paper Physics and Astronomy Model Reduction and Neural Networks
Ludovico Nista, Christoph Schumann, Fabian Fröde, Mohamed Gowely, Temistocle Grenga, Jonathan F. MacArt, +2 more
0citations -
Observation of Long-Range Collective Flow in O + O and Ne + Ne Collisions and Implications for Nuclear Structure Studies2026 Physical Review Letters article Physics and Astronomy High-Energy Particle Collisions Research Open access
A Hayrapetyan, В. Макаренко, A. Tumasyan, W. Adam, L. Benato, T. Bergauer, +94 more
4citations -
exoALMA. VIII. Probabilistic Moment Maps and Data Products Using Nonparametric Linear Models2025 The Astrophysical Journal Letters article Physics and Astronomy Astrophysics and Star Formation Studies Open access
Thomas Hilder, Andrew R. Casey, Daniel J. Price, C. Pinte, Andrés F. Izquierdo, Caitlyn Hardiman, +29 more
10citations -
Chasing the Break: Tracing the Full Evolution of a Black Hole X-Ray Binary Jet with Multiwavelength Spectral Modeling2024 The Astrophysical Journal article Physics and Astronomy Astrophysical Phenomena and Observations Open access
Constanza Echiburú-Trujillo, Alexandra J. Tetarenko, Daryl Haggard, T. D. Russell, Karri I. I. Koljonen, Arash Bahramian, +31 more
23citations -
Using physics-informed enhanced super-resolution generative adversarial networks for subfilter modeling in turbulent reactive flows2021 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Zeyu Lian, Dominik Denker, Marco Davidovic, Konstantin Kleinheinz, +2 more
150citations -
Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
31citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
0citations