1 to 10 of 54 Results
Feb 3, 2023
Müller, Alexander, 2023, "Thin cylindrical magnetic nanodots revisited: Scripts and data", https://doi.org/10.18419/darus-3103, DaRUS, V1
This data set includes a Maple file, the data for the figures in the cited work and a C++ project for minizing the micromagnetic energy for the micromagnetic vortex mode. The Maple file contains the analytic derivation of the demagnetization energy for an in-plane single domain s... |
ZIP Archive - 14.6 MB -
MD5: 85586710d703d45fa7d48abd6e8734df
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MATLAB Source Code - 371 B -
MD5: 49965bf008130599708afde40a195ce7
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Markdown Text - 891 B -
MD5: 1bdf33ec49f28da36b377af3e25ab0eb
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Plain Text - 1.2 MB -
MD5: 14eb570b304b8cd10f3b26ac42bb753d
This file contains the dimensionless energy for the minizing vortex configuration for a specific radius and height. It is calculated using the C++ project in the subfolder CurlingModeOptimization. |
Unknown - 339 B -
MD5: 5439f73193c768352385af5adfe47910
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Oct 12, 2022
Krake, Tim; von Scheven, Malte, 2022, "Matlab Implementation of Efficient Updates of Redundancy Matrices", https://doi.org/10.18419/darus-2870, DaRUS, V1
This is a Demo for the manuscript 'Efficient Update of Redundancy Matrices for Truss and Frame Structures' that demonstrates the speedup and accuracy of the proposed update formulas. The computation is done in single-precision. Please open and run the main file. Further informati... |
Jun 16, 2023
Tkachuk, Anton; Krake, Tim; Gade, Jan; von Scheven, Malte, 2023, "Matlab Implementation of Efficient Computation of Redundancy Matrices", https://doi.org/10.18419/darus-3347, DaRUS, V1
This is a Demo for the manuscript 'Efficient Computation of Redundancy Matrices for Moderately Redundant Truss and Frames Structures' that demonstrates the speedup of the proposed algorithms. The computation is done in single-precision. Please open and run the main file. Further... |
MATLAB Source Code - 5.4 KB -
MD5: a23af60ca9e21df107a776d0839a1624
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Plain Text - 3.2 KB -
MD5: 84db747d55f55f53143117a0cf584530
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