Not finding it? Sign in to also search OpenAlex live.
-
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part II: Compartmentalization and learning-based recalibration2025 Computers & Chemical Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Jan-Frederic Laub, Jiyizhe Zhang, Mathis Heyer, Alexei A. Lapkin
7citations -
Mass conditioned and constrained normalising flows for jet generation2026 Journal of Physics Conference Series conference-paper Physics and Astronomy Particle physics theoretical and experimental studies Open access
Benno Käch, Dirk Krücker, Isabell-Alissandra Melzer-Pellmann, M. Scham, S Schnake, Alexi Verney-Provatas
0citations -
Moments of parton distribution functions of the pion from lattice QCD using gradient flow2026 Physical review. D/Physical review. D. article Physics and Astronomy Quantum Chromodynamics and Particle Interactions Open access
Anthony Sebastian Francis, Patrick Fritzsch, Rohith Karur, Jangho Kim, Giovanni Pederiva, Dimitra A. Pefkou, +4 more
6citations -
Study on discharge and short circuit generation in CMS GE1/1 triple-GEM detectors during Run 32025 Journal of Instrumentation article Physics and Astronomy Particle Detector Development and Performance Open access
M. Abbas, S. Abbott, M. Abbrescia, Hassan Abdalla, A. A. Abdelalim, S. AbuZeid, +89 more
0citations -
Correction to: The baryon cycle in modern cosmological hydrodynamical simulations2026 Monthly Notices of the Royal Astronomical Society erratum Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Ruby J. Wright, Rachel S. Somerville, Claudia del P. Lagos, Matthieu Schaller, Romeel Davé, Daniel Anglés‐Alcázar, +1 more
0citations -
CaloChallenge 2022: a community challenge for fast calorimeter simulation2025 Reports on Progress in Physics article Physics and Astronomy Particle physics theoretical and experimental studies Open access
Claudius Krause, M. Faucci Giannelli, Gregor Kasieczka, Benjamin Philip Nachman, Dalila Salamani, David Shih, +60 more
11citations -
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 -
Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
0citations -
Estimating Dense-Packed Zone Height in Liquid-Liquid Separation: A Physics-Informed Neural Network Approach2026 RWTH Publications (RWTH Aachen) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Alexander Mitsos, Adel Mhamdi, Andreas Jupke, Manuel Dahmen
0citations -
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