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Papers matching “surrogate model training” 125

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Creating a Real‐Time Capable Surrogate Model of a Wind Turbine Using Machine Learning
2025 Wind Energy article Engineering Wind Energy Research and Development Open access

Stefan Witter, Jakob Roth, Ralf Schelenz, Georg Jacobs

2

citations
Creating a Real-Time Capable Surrogate Model of a Wind Turbine Using Machine Learning
2024 preprint Engineering Wind Energy Research and Development Open access

Stefan Witter, Ralf Schelenz, Georg Jacobs

0

citations
Development of a machine learning-based surrogate model for friction prediction in textured journal bearings
2024 Friction article Engineering Tribology and Lubrication Engineering Open access

Yujun Wang, Georg Jacobs, Shuo Zhang, Benjamin Klinghart, Florian König

11

citations
Towards the Integration of an Aerodynamic Variable Fidelity Surrogate Model Into a Conceptual Aircraft Design Environment
2025 AIAA SciTech Forum conference-paper Environmental Science Advanced Aircraft Design and Technologies

Maurice Zimmnau, Anna Uhl, Eike Stumpf

2

citations
Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties
2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access

Binh Duong Nguyen, Pavlo Potapenko, Aytekin Demirci, Kishan Govind, Sébastien Bompas, Stefan Sandfeld

22

citations
Data augmentation for disruption prediction via robust surrogate models
2022 Journal of Plasma Physics article Physics and Astronomy Magnetic confinement fusion research Open access

Katharina Rath, David Rügamer, Bernd Bischl, U. von Toussaint, Cristina Rea, Andrew Maris, +2 more

8

citations
Bayesian Optimization via Continual Variational Last Layer Training
2024 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek

0

citations
Distributed online training of data-driven combustion models in reactive flow simulations
2026 RWTH Publications (RWTH Aachen) dissertation Physics and Astronomy Model Reduction and Neural Networks Open access

Tim Munoz Andres

0

citations
Data-Driven Surrogate Models for Bearing Capacity of Spatially Random Soils
2024 conference-paper Engineering Geotechnical Engineering and Analysis

Hoang Nguyen, Hao Feng Xu, Xuzhen He, Xiaojun Chen, Rita Leal Sousa

3

citations
End-to-end reinforcement learning of Koopman models for economic nonlinear model predictive control
2024 Computers & Chemical Engineering article Engineering Advanced Control Systems Optimization Open access

Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen

10

citations
Task-optimal data-driven surrogate models for eNMPC via differentiable simulation and optimization
2025 IFAC-PapersOnLine article Engineering Advanced Control Systems Optimization Open access

Daniel Mayfrank, Alexander Mitsos, Manuel Dahmen

0

citations
Meta-learning spiking neural networks with surrogate gradient descent
2022 Neuromorphic Computing and Engineering article Engineering Advanced Memory and Neural Computing Open access

Kenneth Michael Stewart, Emre Neftci

38

citations
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
2022 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Emre Neftci

2

citations
Surrogate Models for TCP Displacement in Milling
2026 Lecture notes in production engineering conference-paper Engineering Advanced machining processes and optimization Open access

Matthäus Loba, Felix Roenneke, Marcel Fey, C. Brecher

0

citations
Post-training makes large language models less human-like
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Marcel Binz, Elif Akata, Abdullah Almaatouq, Mohammed Alsobay, Oleksii Ariasov, Franziska Brändle, +72 more

1

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2022 SIAM/ASA Journal on Uncertainty Quantification article Mathematics Tensor decomposition and applications Open access

Sergey Dolgov, Lars Grasedyck, Robert Scheichl

20

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Computational homogenization and data-driven surrogate modeling of mechanical metamaterials
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Cellular and Composite Structures Open access

Hooman Danesh

0

citations
Workflow concepts to model nonlinear mechanics with computational intelligence
2021 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Arnd Koeppe, Franz Bamer, Michael A. Selzer, Britta Nestler, Bernd A. Markert

5

citations
Computationally-feasible uncertainty quantification in model-based landslide risk assessment
2023 Frontiers in Earth Science article Environmental Science Landslides and related hazards Open access

Anil Yıldiz, Hu Zhao, Julia Kowalski

12

citations
A data-driven flow loss prediction model for the blade hub region of a boundary layer ingestion fan rotor
2023 International Journal of Numerical Methods for Heat &amp Fluid Flow article Engineering Turbomachinery Performance and Optimization

Hanan Lu, Xizhen Song, Tianyu Pan, Zhe Yang, Jian Zhang, Qiushi Li

3

citations
Improved prediction rule ensembling through model-based data generation
2021 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Benny Markovitch, Marjolein Fokkema

1

citations
Quantifying data needs in surrogate modeling for flow fields in two-dimensional stirred tanks with physics-informed neural networks
2025 Physics of Fluids article Physics and Astronomy Model Reduction and Neural Networks

Veronika Trávníková, Eric von Lieres, Marek Behr

6

citations
NeuralPDR: neural differential equations as surrogate models for photodissociation regions
2025 Machine Learning Science and Technology article Physics and Astronomy Model Reduction and Neural Networks Open access

Gijs Vermariën, Thomas G. Bisbas, S. Viti, Yue Zhao

3

citations
A Spike‐Based Graph Surrogate for Modeling Finite Element Structures
2026 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Vaishnav Bhaskaran, Rutwik Gulakala, Marcus Stoffel

0

citations