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检索条件"机构=Computational Methods in Systems and Control Theory"
82 条 记 录,以下是1-10 订阅
排序:
An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials
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npj computational Materials 2023年 第1期9卷 1981-1990页
作者: Mohammad S.Khorrami Jaber R.Mianroodi Nima H.Siboni Pawan Goyal Bob Svendsen Peter Benner Dierk Raabe Microstructure Physics and Alloy Design Max-Planck-Institut für EisenforschungDüsseldorfGermany Ergodic Labs Lohmühlenstraße 6512435 BerlinGermany Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical SystemsMagdeburgGermany Material Mechanics RWTH Aachen UniversityAachenGermany
The purpose of this work is the development of a trained artificial neural network for surrogate modeling of the mechanical response of elasto-viscoplastic grain *** this end,a U-Net-based convolutional neural network... 详细信息
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Active learning enhanced deep-learning surrogate model for fast MEMS design with high-dimensional design parameter spaces
Active learning enhanced deep-learning surrogate model for f...
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IEEE International Conference on Nano/Micro Engineered and Molecular systems (NEMS)
作者: Chenzi Wang Lihong Feng Wenshuai Lu Wei Bian Zheng You Peter Benner Department of Precision Instrument Tsinghua University Beijing China Department of Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany
MEMS devices suffer from errors in manufacturing processes such as lithography, etching, thinning, etc. These errors cause non-negligible deviations between the actual device performance and the ideal performance obta... 详细信息
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Model order reduction via substructuring for a nonlinear, differential-algebraic machine tool model with moving loads
Model order reduction via substructuring for a nonlinear, di...
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92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)
作者: Aumann, Quirin Benner, Peter Saak, Jens Vettermann, Julia Mathematics in Industry and Technology Faculty of Mathematics Technische Universitat Chemnitz Reichenhainer Str. 41 Chemnitz09126 Germany Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstr. 1 Magdeburg39106 Germany
Machine tools are permanently exposed to complex static, dynamic and thermic loads. This often results in an undesired dis¬placement of the tool center point (TCP), causing errors in the production process and th... 详细信息
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Fast and reliable reduced-order models for cardiac electrophysiology
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GAMM Mitteilungen 2023年 第3-4期46卷 e202370014-e202370014页
作者: Chellappa, Sridhar Cansız, Barış Feng, Lihong Benner, Peter Kaliske, Michael Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Institute for Structural Analysis Technische Universität Dresden Dresden Germany
Mathematical models of the human heart increasingly play a vital role in understanding the working mechanisms of the heart, both under healthy functioning and during disease. The ultimate aim is to aid medical practit... 详细信息
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Efficient structure-preserving support tensor train machine
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2023年 第1期24卷 98-119页
作者: Kirandeep Kour Peter Benner Sergey Dolgov Martin Stoll Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Department of Mathematical Sciences University of Bath Bath UK Faculty of Mathematics Technische Universität Chemnitz Chemnitz Germany
An increasing amount of the collected data are high-dimensional multi-way arrays (tensors), and it is crucial for efficient learning algorithms to exploit this tensorial structure as much as possible. The ever present... 详细信息
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Adaptively restarted block Krylov subspace methods with low-synchronization skeletons
arXiv
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arXiv 2022年
作者: Lund, Kathryn Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstr. 1 Magdeburg39106 Germany
With the recent realization of exascale performace by Oak Ridge National Laboratory’s Frontier supercomputer, reducing communication in kernels like QR factorization has become even more imperative. Low-synchronizati... 详细信息
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A physics-encoded Fourier neural operator approach for surrogate modeling of divergence-free stress fields in solids
arXiv
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arXiv 2024年
作者: Khorrami, Mohammad S. Goyal, Pawan Mianroodi, Jaber R. Svendsen, Bob Benner, Peter Raabe, Dierk Microstructure Physics and Alloy Design Max-Planck Institute for Sustainable Materials Düsseldorf Germany Computational Methods in Systems and Control Theory Max-Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Material Mechanics RWTH Aachen University Aachen Germany
The purpose of the current work is the development of a so-called physics-encoded Fourier neural operator (PeFNO) for surrogate modeling of the quasi-static equilibrium stress field in solids. Rather than accounting f... 详细信息
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The Fréchet derivative of the tensor t-function
arXiv
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arXiv 2023年
作者: Lund, Kathryn Schweitzer, Marcel Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstr. 1 Magdeburg39106 Germany School of Mathematics and Natural Sciences Bergische Universität Wuppertal Wuppertal42097 Germany
The tensor t-function, a formalism that generalizes the well-known concept of matrix functions to third-order tensors, is introduced in [K. Lund, The tensor t-function: a definition for functions of third-order tensor... 详细信息
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Parametric S-Parameter Prediction Using Deep Learning
Parametric S-Parameter Prediction Using Deep Learning
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IEEE Topical Meeting on Electrical Performance of Electronic Packaging (EPEPS)
作者: Vinayak Bansal Lihong Feng Valentin de la Rubia Peter Benner Department of Chemical Engineering Indian Institute of Technology Delhi India Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg Germany Departamento de Mateádtica Aplicada a las TIC Universidad Politécnica de Madrid Madrid Spain
We construct a neural network model of S-parameters, from which the S-parameters can be quickly pre-dicted. Numerical tests on a filter model show that the proposed method accurately predicts the S-parameters with mul... 详细信息
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Low-rank-modified Galerkin methods for the Lyapunov equation
arXiv
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arXiv 2023年
作者: Lund, Kathryn Palitta, Davide Computational Methods in Systems and Control Theory Max Planck Institute for Dynamics of Complex Technical Systems Sandtorstr. 1 Magdeburg39106 Germany Dipartimento di Matematica Piazza di Porta S. Donato 5 Bologna40126 Italy
Of all the possible projection methods for solving large-scale Lyapunov matrix equations, Galerkin approaches remain much more popular than minimal-residual ones. This is mainly due to the different nature of the proj... 详细信息
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