51 to 60 of 1,102 Results
Dec 22, 2025 - PN 3-5
Sriram, Siddharth, 2025, "Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset", https://doi.org/10.18419/DARUS-5623, DaRUS, V1
This repository is intended to host the supplementary material (dataset and scripts) associated with the article “Optimization of magnetoelectric composites using convolutional neural networks”. The HDF5 file 'Microstructure_data.h5' contains the dataset of microstructural images and their effective properties of interest, computed using the finite... |
Dec 22, 2025 -
Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.7 MB -
MD5: c555cdad857f4f12fe4e0d1e45d240e2
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Dec 22, 2025 -
Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 348.6 MB -
MD5: 5b39acde422e7818b0c656216ec98703
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Dec 22, 2025 -
Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.6 MB -
MD5: 1bdeaee6b04b9457f166deea6022a6c6
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Dec 22, 2025 -
Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.5 MB -
MD5: e442e1be178be052b48cbee3b7c7804c
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Dec 22, 2025 -
Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
Hierarchical Data Format - 972.1 MB -
MD5: a37eb6a8912e2e90c95b46854487dee4
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Dec 22, 2025 -
Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
Adobe PDF - 77.2 KB -
MD5: d4c60b8e903ce04c1ce240c8abea5747
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Nov 28, 2025
Stärk, Philipp; Schlaich, Alexander, 2025, "Supplementary Data for: Phase Diagram and Criticality of the Modified Primitive Electrolyte Model in Bulk and Inert and Conducting Confinement", https://doi.org/10.18419/DARUS-5037, DaRUS, V1, UNF:6:2rxz9p/7+PzWplE3Nv/71A== [fileUNF]
Supplementary Data for: Phase Diagram and Criticality of the Modified Primitive Electrolyte Model in Bulk and Inert and Conducting Confinement This data respository contains software code for an implementation of the Wang-Landau (WL) method in LAMMPS, code to "stitch" together free energy profiles from WL runs of sub-spaces of the phase space, simu... |
Python Source Code - 31.1 KB -
MD5: 2cbb81eb8cd26c316c15ec0a560c7438
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Fixed Field Text Data - 6.6 KB -
MD5: f789af4906852464c7c9b7e1fdce4ef3
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