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Papers matching “computational complexity reduction” 131

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CFD model validation and mesh resolution reduction strategies for complex louvred openings
2026 Building and Environment article Environmental Science Wind and Air Flow Studies Open access

Laura Annabelle Bugenings, Philipp Ostmann, Aliakbar Kamari, Li Rong

0

citations
Complexity Reduction for Converter-Driven Stability Analysis in Transmission Systems
2024 Electronics article Engineering Power System Optimization and Stability Open access

Viswaja Yellisetti, Albert Moser

0

citations
Computational Complexity of the Weisfeiler-Leman Dimension
2025 DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) article Computer Science Advanced Graph Theory Research Open access

Simon Raßmann, Pascal Schweitzer

1

citations
Computational Complexity of the Weisfeiler-Leman Dimension
2026 ACM Transactions on Computational Logic article Computer Science Advanced Graph Theory Research

Moritz Lichter, Simon Raßmann, Pascal Schweitzer

0

citations
A modeler's guide to handle complexity in energy systems optimization
2021 Advances in Applied Energy article Engineering Integrated Energy Systems Optimization Open access

Leander Kotzur, Lars Nolting, Maximilian Hoffmann, Theresa Groß, Andreas Smolenko, Jan Priesmann, +7 more

200

citations
A Proton-Responsive Annulated Mesoionic Carbene (MIC) Scaffold on Ir Complex for Proton/Hydride Shuttle: An Experimental and Computational Investigation on Reductive Amination of Aldehyde
2020 Organometallics article Chemistry Asymmetric Hydrogenation and Catalysis

Pragati Pandey, Prosenjit Daw, Noor U Din Reshi, Kira R. Ehmann, Markus Hölscher, Walter Leitner, +1 more

22

citations
CFD model validation and mesh resolution reduction strategies for complex louvred openings
2026 Building and Environment article Environmental Science Wind and Air Flow Studies Open access

Laura Annabelle Bugenings, Philipp Ostmann, Aliakbar Kamari, Li Rong

2

citations
A nonlinear manifold model order reduction approach for thermo‐mechanically coupled plasticity
2024 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Jian Zhang, Stefanie Reese, Tim Brepols

3

citations
Uplifting the complexity of analysis for probabilistic security of electricity supply assessments using artificial neural networks
2024 Energy and AI article Engineering Integrated Energy Systems Optimization Open access

Justin Münch, Jan Priesmann, Marius Reich, Marius Tillmanns, Aaron Praktiknjo, Mario Adam

4

citations
Advecting Superspecies: Efficiently Modeling Transport of Organic Aerosol With a Mass‐Conserving Dimensionality Reduction Method
2023 Journal of Advances in Modeling Earth Systems article Earth and Planetary Sciences Atmospheric chemistry and aerosols Open access

Patrick Obin Sturm, Astrid Manders, Ruud H. H. Janssen, Arjo J. Segers, Anthony S. Wexler, Hai Xiang Lin

9

citations
Scaling Relation between the Reduction Potential of Copper Catalysts and the Turnover Frequency for the Oxygen and Hydrogen Peroxide Reduction Reactions
2023 Inorganic Chemistry article Energy Electrocatalysts for Energy Conversion Open access

Michiel Langerman, Phebe H. van Langevelde, Johannes J. van de Vijver, Maxime A. Siegler, Dennis G. H. Hetterscheid

28

citations
FFT‐based homogenization using a reduced set of frequencies and a clustered microstructure
2021 PAMM article Engineering Composite Material Mechanics Open access

Johanna Waimann, Christian Gierden, Annika Schmidt, Bob Svendsen, Stefanie Reese

0

citations
Deterministic Global Nonlinear Model Predictive Control with Neural Networks Embedded
2020 IFAC-PapersOnLine article Engineering Advanced Control Systems Optimization Open access

Danimir T. Doncevic, Artur M. Schweidtmann, Yannic Vaupel, Pascal M. Schäfer, Adrian Caspari, Alexander Mitsos

16

citations
Multi-field decomposed hyper-reduced order modeling of damage-plasticity simulations
2026 Computer Methods in Applied Mechanics and Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access

Jannick Kehls, Stephan Ritzert, Lars Breuer, Qinghua Zhang, Stefanie Reese, Tim Brepols

1

citations
Data Assimilation for Transonic Flows Integrating Reduced-Order Models and Active Learning
2025 AIAA Journal article Physics and Astronomy Model Reduction and Neural Networks

Zhen Tang, Jiaqing Kou, Wenfeng Li, Weiwei Zhang, Matthias H. Meinke, Wolfgang Schröder

1

citations
A hybrid approach for solving the gravitational N-body problem with Artificial Neural Networks
2023 Journal of Computational Physics article Physics and Astronomy Model Reduction and Neural Networks Open access

Veronica Saz Ulibarrena, Philipp Horn, Simon Portegies Zwart, Elena Sellentin, Barry Koren, Maxwell Xu Cai

7

citations
Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines
2022 IFAC-PapersOnLine article Engineering Advanced Control Systems Optimization Open access

Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, +3 more

16

citations
Sensitivity analysis using physics-based machine learning: an example from surrogate modelling for magnetotellurics
2025 Geophysical Journal International article Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Alexander V. Grayver, Florian Wellmann

1

citations
An Efficient Intrusion Detection Method Based on Dynamic Autoencoder
2021 IEEE Wireless Communications Letters article Computer Science Network Security and Intrusion Detection

Ruijie Zhao, Jie Yin, Zhi Xue, Guan Gui, Bamidele Adebisi, Tomoaki Otsuki Ohtsuki, +2 more

93

citations
Reduced FFT-Based Simulation of a Mechanically Loaded Clustered Microstructure Using an Adaptive Set of Fourier Modes
2022 Key engineering materials article Materials Science Microstructure and mechanical properties Open access

Johanna Waimann, Christian Gierden, Annika Schmidt, Bob Svendsen, Stefanie Reese

6

citations
MACE: A Machine-learning Approach to Chemistry Emulation
2024 The Astrophysical Journal article Physics and Astronomy Model Reduction and Neural Networks Open access

Silke Maes, Frederik De Ceuster, Marie Van de Sande, L. Decin

12

citations
Leveraging the capabilities of physics-informed neural networks for channel optimization in PEM fuel cells
2026 Applied Energy article Physics and Astronomy Model Reduction and Neural Networks Open access

Julian Nicolas Toussaint, Sebastian Pieper, Max Mally, Stefan Pischinger

6

citations
Subhourly temporal resolution in PV energy system modeling: effects on design, reliability, and computational efficiency
2026 Energy Conversion and Management X article Engineering Integrated Energy Systems Optimization Open access

Olalekan Omoyele, Maximilian Hoffmann, Jann Michael Weinand, Detlef Stolten

0

citations
About the trustworthiness of physics-based machine learning – considerations for geomechanical applications
2025 Solid Earth article Physics and Astronomy Model Reduction and Neural Networks Open access

Denise Degen, Moritz Ziegler, Oliver Heidbach, Andreas Henk, Karsten Reiter, Florian Wellmann

2

citations
A Causality-Constrained Frequency-Domain Least-Squares Filter Design Method for Crosstalk Cancellation
2021 IEEE/ACM Transactions on Audio Speech and Language Processing article Computer Science Speech and Audio Processing

Tobias Kabzinski, Peter Jax

7

citations