SimTech Project PN 3-5 "Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media" and SimTech Project PN 3-5 (II) "Data-driven multi-scale stability analysis of multi-stimuli-responsive hydrogels"
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Effective_piezo-coefficients_training-from-scratch.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.7 MB - MD5: c555cdad857f4f12fe4e0d1e45d240e2
Effective_piezo-coefficients_transfer-learning_fine-tuning.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 348.6 MB - MD5: 5b39acde422e7818b0c656216ec98703
Effective_remnant_polarization.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.6 MB - MD5: 1bdeaee6b04b9457f166deea6022a6c6
Explainability_analysis.tar.xz
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
XZ Archive - 148.5 MB - MD5: e442e1be178be052b48cbee3b7c7804c
Microstructure_data.h5
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
Hierarchical Data Format - 972.1 MB - MD5: a37eb6a8912e2e90c95b46854487dee4
README.pdf
Dec 22, 2025 - Optimization of magnetoelectric composites using convolutional neural networks - scripts and dataset
Adobe PDF - 77.2 KB - MD5: d4c60b8e903ce04c1ce240c8abea5747
binary_classification.ipynb
Feb 16, 2024 - Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes
Jupyter Notebook - 13.7 KB - MD5: dacad485cece6350acf08afa30461e19
de_instabilities.yml
Feb 16, 2024 - Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes
application/x-yaml - 8.5 KB - MD5: 86f5d2848b4668165c8e936214efed7f
multiclass_classification.ipynb
Feb 16, 2024 - Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes
Jupyter Notebook - 17.6 KB - MD5: 060c1d1f671f506010836b1ef8333a41
regression.ipynb
Feb 16, 2024 - Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes
Jupyter Notebook - 12.2 KB - MD5: e489576c86ed8d8a49cfd1ddce73b94e
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