Institute of Applied Mechanics (MIB)

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

21 to 30 of 602 Results

weights_uno_mechanical_2d_mixed.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 1.2 MB - MD5: bb9b67d78d44808f7f628c4f0b8ceb26 Learned UNO weights for the mechanical problem in 2D with mixed BC
weights_uno_mechanical_2d_per.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 4.9 MB - MD5: 4a5c32d1459c529cccba9d9a059d1985 Learned UNO weights for the mechanical problem in 2D with periodic BC
weights_uno_mechanical_3d_dir.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 159.5 MB - MD5: b2bd3b2ace213ded7cf7dddd52703427 Learned UNO weights for the mechanical problem in 3D with Dirichlet BC
weights_uno_mechanical_3d_mixed.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 81.4 MB - MD5: 579a8264e01eeb76b14cef10a8d6d325 Learned UNO weights for the mechanical problem in 3D with mixed BC
weights_uno_mechanical_3d_per.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 486.0 MB - MD5: 161f7b3a0c2a279e3406445ae7b0ff26 Learned UNO weights for the mechanical problem in 3D with periodic BC
weights_uno_naive_thermal_2d_per.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 2.4 MB - MD5: 3c8bda6aed28f796fd8e059d5f6b26d2 Learned UNO weights for the thermal problem in 2D with periodic BC (naive training)
weights_uno_thermal_2d_per.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 1.2 MB - MD5: 2006ce8ce17bffe09ef775a6305a8401 Learned UNO weights for the thermal problem in 2D with periodic BC
weights_uno_thermal_3d_dir.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 53.2 MB - MD5: 8a257ace5547a6634fb7902f2b587cf9 Learned UNO weights for the thermal problem in 3D with Dirichlet BC
weights_uno_thermal_3d_per.pt Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Unknown - 108.0 MB - MD5: 598c06283c4395ee752ac35773937cd1 Learned UNO weights for the thermal problem in 3D with periodic BC
binarized_result_U-Net.tar.gz Oct 30, 2025 - micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 500°C Gzip Archive - 292.0 MB - MD5: d9bef158aa03934a8487776af9a867fc Binarization of "reconstructed.tar.gz" showing the extracted crack network in 8 bit *.tif file format. 2940x2940x2141 voxels with uniform voxel size of 2.0 µm. Binarization was achieved using the published code, "Fracture network segmentation," available at https://doi.org/10.18419/darus-1847.

weights_uno_mechanical_2d_mixed.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 1.2 MB -

Learned UNO weights for the mechanical problem in 2D with mixed BC

weights_uno_mechanical_2d_per.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 4.9 MB -

Learned UNO weights for the mechanical problem in 2D with periodic BC

weights_uno_mechanical_3d_dir.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 159.5 MB -

Learned UNO weights for the mechanical problem in 3D with Dirichlet BC

weights_uno_mechanical_3d_mixed.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 81.4 MB -

Learned UNO weights for the mechanical problem in 3D with mixed BC

weights_uno_mechanical_3d_per.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 486.0 MB -

Learned UNO weights for the mechanical problem in 3D with periodic BC

weights_uno_naive_thermal_2d_per.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 2.4 MB -

Learned UNO weights for the thermal problem in 2D with periodic BC (naive training)

weights_uno_thermal_2d_per.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 1.2 MB -

Learned UNO weights for the thermal problem in 2D with periodic BC

weights_uno_thermal_3d_dir.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 53.2 MB -

Learned UNO weights for the thermal problem in 3D with Dirichlet BC

weights_uno_thermal_3d_per.pt

Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Unknown - 108.0 MB -

Learned UNO weights for the thermal problem in 3D with periodic BC

binarized_result_U-Net.tar.gz

Oct 30, 2025 - micro-XRCT data set of Carrara marble with artificially created crack network: fast cooling down from 500°C

Gzip Archive - 292.0 MB -

Binarization of "reconstructed.tar.gz" showing the extracted crack network in 8 bit *.tif file format. 2940x2940x2141 voxels with uniform voxel size of 2.0 µm. Binarization was achieved using the published code, "Fracture network segmentation," available at https://doi.org/10.18419/darus-1847.

Add Data

Share Dataverse

Link Dataverse

Reset Modifications