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Physics-informed neural networks for dynamic process operations with limited physical knowledge and data2024 Computers & Chemical Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Mehmet Velioglu, Song Zhai, Sophia Rupprecht, Alexander Mitsos, Andreas Jupke, Manuel Dahmen
54citations -
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 -
Engineering Epitaxial Interfaces for Topological Insulator — Superconductor Hybrid Devices with Al Electrodes2024 Advanced Quantum Technologies article Physics and Astronomy Topological Materials and Phenomena Open access
Abdur Rehman Jalil, Tobias Schmitt, Philipp Rüßmann, Xian‐Kui Wei, Benedikt Frohn, Michael Schleenvoigt, +10 more
5citations -
The Forward Physics Facility at the High-Luminosity LHC2023 Research Explorer (The University of Manchester) article Physics and Astronomy Particle physics theoretical and experimental studies Open access
Jonathan Lee Feng, Felix Kling, Mary Hall Reno, Juan Rojo, Dennis Soldin, Luis A. Anchordoqui, +94 more
226citations -
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Yusuke Yamazaki, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, +1 more
39citations -
A hybrid enrichment strategy for the efficient construction of reduced order models by the proper generalized decomposition0citations
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High throughput software-based gradient tree boosting positioning for PET systems2021 Biomedical Physics & Engineering Express article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Christian Wassermann, Florian Mueller, Thomas Dey, Janko Lambertus, David Schug, Volkmar Schulz, +1 more
8citations -
A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Rasoul Najafi Koopas, +3 more
27citations -
Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Jesus Gonzalez-Sieiro, David Pardo, Vincenzo Nava, Victor M. Calo, Markus Towara
5citations -
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 -
Local laser-induced solid-phase recrystallization of phosphorus-implanted Si/SiGe heterostructures for contacts below 4.2 K2024 Physical Review Materials article Physics and Astronomy Semiconductor materials and interfaces Open access
Malte Neul, Isabelle V. Sprave, Laura K. Diebel, Lukas G. Zinkl, Florian Fuchs, Yuji Yamamoto, +3 more
8citations -
Redshifted Iron Emission and Absorption Lines in the Chandra X-Ray Spectrum of Centaurus A2024 The Astrophysical Journal article Physics and Astronomy Astrophysical Phenomena and Observations Open access
David Bogensberger, Jon M. Miller, Elias Kammoun, R. F. Mushotzky, Laura W. Brenneman, William Nielsen Brandt, +6 more
3citations