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Papers matching “order parameter” 1,003

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Spatial homogeneity of superconducting order parameter in NbN films grown by atomic layer deposition
2026 Superconductor Science and Technology article Physics and Astronomy Physics of Superconductivity and Magnetism Open access

Janine Lorenz, S. Linzen, Mario Ziegler, G. Oelsner, Ronny Stolz, Frank Stefan Tautz, +2 more

0

citations
Data-Driven Line Parameter Estimation for Unknown Customer Order considering Customer Connection Lines
2025 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) conference-paper Engineering Power System Optimization and Stability

Nina Štumberger, Franziska Tischbein, Andreas Bong, Andreas Ulbig

0

citations
Partial Up-Up-Down Order with the Continuously Distributed Order Parameter in the Triangular Antiferromagnet TmMgGaO4
2020 Physical Review X article Physics and Astronomy Advanced Condensed Matter Physics Open access

43

citations
Uncertainty-aware modeling of hemolysis in rotary blood pumps using reduced-order models and Bayesian parameter estimation Parameterschätzung
2026 RWTH Publications (RWTH Aachen) dissertation Engineering Mechanical Circulatory Support Devices Open access

Christopher Blum

0

citations
Reduced order modeling of modular parameter dependent structures based on proper orthogonal decomposition and mesh tying
2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Stephan Ritzert, Domen Macek, Jaan‐Willem Simon, Stefanie Reese

1

citations
Parametric Model Order Reduction of Variable Parameter Axial Dispersion Model
2021 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Physics and Astronomy Model Reduction and Neural Networks

Ahmed Elkhashap, Dirk Abel

2

citations
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Mathematics Numerical methods for differential equations Open access

Stephan Ritzert, Domen Macek, Jaan‐Willem Simon, Stefanie Reese

1

citations
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"
2023 Zenodo (CERN European Organization for Nuclear Research) dataset Mathematics Numerical methods for differential equations Open access

Stephan Ritzert, Domen Macek, Jaan‐Willem Simon, Stefanie Reese

0

citations
An adaptive model order reduction technique for parameter-dependent modular structures
2023 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

Stephan Ritzert, Domen Macek, Jaan‐Willem Simon, Stefanie Reese

13

citations
Reduced order model with non-linear parameter optimization for hydrogen combustion engine control *
2023 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Chemical Engineering Advanced Combustion Engine Technologies

Kevin Kluge, Benjamin Pehlivanlar, Henrik Wenzel, Marco Günther, Stefan Pischinger, Dirk Abel

2

citations
Coherent information as a mixed-state topological order parameter of fermions
2025 Physical Review Research article Physics and Astronomy Quantum and electron transport phenomena Open access

Ze-Min Huang, Luis Colmenárez, Sebastian Diehl

9

citations
Coherent information as a mixed-state topological order parameter of fermions
2024 arXiv (Cornell University) preprint Physics and Astronomy Quantum Mechanics and Applications Open access

Ze-Min Huang, Luis Colmenárez, Markus Michael Müller, Sebastian Diehl

0

citations
A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics: proof of concept and parameter study
2025 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

Lisa Scheunemann, Erik Faust

2

citations
A manifold learning approach to nonlinear model order reduction of quasi-static problems in solid mechanics: proof of concept and parameter study
2025 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks Open access

Lisa Scheunemann, Erik Faust

0

citations
The Parameterized Complexity of Learning Monadic Second-Order Logic
2025 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Machine Learning and Algorithms Open access

Steffen van Bergerem

0

citations
The Parameterized Complexity of Learning Monadic Second-Order Logic
2023 HAL (Le Centre pour la Communication Scientifique Directe) conference-paper Computer Science semigroups and automata theory Open access

Steffen van Bergerem, Martin Grohe, Nina Runde

0

citations
On the Parameterized Complexity of Learning First-Order Logic
2021 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Steffen van Bergerem, Martin Grohe, Martin Ritzert

0

citations
Automatic Model Order Reduction Technique for Real-time Temperature Monitoring of Oil-Cooled Electric Machines
2023 IEEE Transactions on Industry Applications article Engineering Electric Motor Design and Analysis

Akiyasu Miyamoto, Henning Sauerland, Huihui Xu, Rik W. De Doncker

6

citations
Eulerian fractions and Stirling, Bernoulli and Euler functions with complex order parameters and their impact on the polylogarithm function
2023 Applicable Analysis and Discrete Mathematics article Mathematics Advanced Mathematical Identities Open access

Paul Leo Butzer, Tian-Xiao He, Clemens Markett

0

citations
First-Order Model-Checking in Random Graphs and Complex Networks
2020 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

citations
Higher order asymptotic homogenization for dynamical problems
2021 Mathematics and Mechanics of Solids article Computer Science Advanced Mathematical Modeling in Engineering

Igor I. Andrianov, Igor V. Andrianov, Igor V. Andrianov, Galina A. Starushenko, Evgenij I. Borodin

9

citations
Benefits of Global Sensitivity Analysis and Reduced Order Modeling for Basin-Scale Process Simulations
2021 conference-abstract Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Mauro Cacace, Cameron Spooner, Magdalena Scheck‐Wenderoth, Florian Wellmann

0

citations
First-Order Model-Checking in Random Graphs and Complex Networks
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

citations
Order Reduction of a Nonlinear Convection-Dominated Model of Heart Valve Tissue Maturation
2022 IEEE Conference on Control Technology and Applications (CCTA) conference-paper Physics and Astronomy Model Reduction and Neural Networks

Kirsten VoB, Ahmed Elkhashap, Lorenz Dörschel, Maximilian P. Werner, Vytautas Kučikas, Marc A.M.J. van Zandvoort, +2 more

0

citations
Evaluating Restricted First-Order Counting Properties on Nowhere Dense Classes and Beyond
2023 arXiv (Cornell University) preprint Computer Science semigroups and automata theory Open access

Jan Dreier, Daniel Mock, Peter Rossmanith

0

citations