Institute of Applied Mechanics (MIB)

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161 to 170 of 577 Results

Ca=10-4,M=10.tar Apr 18, 2024 - Primary drainage experiments and fractal dimensions TAR Archive - 5.0 GB - MD5: 7b8cf6930230bfcf0b6fba72c563cd06 Capillary number for the invading phase equal to 10-4. Viscosity ratio between the invading and the defending phase equal to 10.
Ca=10-4,M=1.tar Apr 18, 2024 - Primary drainage experiments and fractal dimensions TAR Archive - 2.3 GB - MD5: 40b770e498dea4c40e1d7d2ee385528b Capillary number for the invading phase equal to 10-4. Viscosity ratio between the invading and the defending phase equal to 1.
Ca=10-5,M=0.2.tar Apr 18, 2024 - Primary drainage experiments and fractal dimensions TAR Archive - 1.5 GB - MD5: 8a800605b22541c778d28fc95562ee2e Capillary number for the invading phase equal to 10-5. Viscosity ratio between the invading and the defending phase equal to 0.2.
Ca=10-5,M=10.tar Apr 18, 2024 - Primary drainage experiments and fractal dimensions TAR Archive - 6.4 GB - MD5: 4b8b4022b5b8f70610d1c6158c77984b Capillary number for the invading phase equal to 10-5. Viscosity ratio between the invading and the defending phase equal to 10.
Ca=10-5,M=1.tar Apr 18, 2024 - Primary drainage experiments and fractal dimensions TAR Archive - 2.3 GB - MD5: 6f605e1b5133b749f0d4923fceb93687 Capillary number for the invading phase equal to 10-5. Viscosity ratio between the invading and the defending phase equal to 1.
Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes Feb 16, 2024 - PN3-5 Sriram, Siddharth, 2024, "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes", https://doi.org/10.18419/DARUS-3881, DaRUS, V1 The datasets and codes provided here are associated with our article entitled "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle". The main idea of the work is to develop surrogate models using the concepts of machine learning (ML) to predict the onset of wrinkling insta...
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

Ca=10-4,M=10.tar

Apr 18, 2024 - Primary drainage experiments and fractal dimensions

TAR Archive - 5.0 GB -

Capillary number for the invading phase equal to 10-4. Viscosity ratio between the invading and the defending phase equal to 10.

Ca=10-4,M=1.tar

Apr 18, 2024 - Primary drainage experiments and fractal dimensions

TAR Archive - 2.3 GB -

Capillary number for the invading phase equal to 10-4. Viscosity ratio between the invading and the defending phase equal to 1.

Ca=10-5,M=0.2.tar

Apr 18, 2024 - Primary drainage experiments and fractal dimensions

TAR Archive - 1.5 GB -

Capillary number for the invading phase equal to 10-5. Viscosity ratio between the invading and the defending phase equal to 0.2.

Ca=10-5,M=10.tar

Apr 18, 2024 - Primary drainage experiments and fractal dimensions

TAR Archive - 6.4 GB -

Capillary number for the invading phase equal to 10-5. Viscosity ratio between the invading and the defending phase equal to 10.

Ca=10-5,M=1.tar

Apr 18, 2024 - Primary drainage experiments and fractal dimensions

TAR Archive - 2.3 GB -

Capillary number for the invading phase equal to 10-5. Viscosity ratio between the invading and the defending phase equal to 1.

Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes

Feb 16, 2024 - PN3-5

Sriram, Siddharth, 2024, "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes", https://doi.org/10.18419/DARUS-3881, DaRUS, V1

The datasets and codes provided here are associated with our article entitled "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle". The main idea of the work is to develop surrogate models using the concepts of machine learning (ML) to predict the onset of wrinkling insta...

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 -

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 -

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 -

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 -

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