Institute of Applied Mechanics (MIB)

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31 to 40 of 682 Results

Frquency_sweep_bin.tar Apr 30, 2026 - DMA measurement of (Ultra) High Performance Concrete under different dynamic loading conditions: before and after fatigue test TAR Archive - 359.5 MB - MD5: a939525d2922beb2f30e01bc703688f4
Post_Processing_Code_Extract_Results.tar Apr 30, 2026 - DMA measurement of (Ultra) High Performance Concrete under different dynamic loading conditions: before and after fatigue test TAR Archive - 110.0 KB - MD5: d91cb89efdbc1a9b356bb123a62ac12e
Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net" Feb 25, 2026 - Data Analytics in Engineering Keshav, Sanath; Fritzen, Felix; Boddapati, Jagannadh; Daraio, Chiara, 2026, "Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net"", https://doi.org/10.18419/DARUS-5730, DaRUS, V1, UNF:6:byGE329uA/9Q5pf0cmyyVw== [fileUNF] This repository contains supplemental data for the article "Robust inverse material design with physical guarantees using the Voigt-Reuss Net", accepted for publication in the International Journal for Numerical Methods in Engineering by Sanath Keshav and Felix Fritzen. The data in this DaRUS repository complements the accompanying open-source impl...
feature_engineering_mechanical_2D.h5 Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net" Hierarchical Data Format - 150.1 MB - MD5: 20a6c4396ce6885d78df0ac4e8a2378e 2D mechanical dataset
feature_engineering_mechanical_3D.h5 Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net" Hierarchical Data Format - 34.0 GB - MD5: f0d2a4500e8a8615edb036d1b3912002 3D mechanical dataset
metadata_mechanical_3D.csv Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net" Tabular Data - 200.5 MB - 8 Variables, 1185030 Observations - UNF:6:byGE329uA/9Q5pf0cmyyVw== 3D mechanical dataset (Metadata)
README.md Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net" Markdown Text - 10.8 KB - MD5: 2b6b7ea06416094a0ba3b0b63e6c1b3a Supplementary information
Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Feb 2, 2026 - Data Analytics in Engineering Herb, Julius; Fritzen, Felix, 2026, "Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"", https://doi.org/10.18419/DARUS-5686, DaRUS, V1 This repository contains supplemental data for the article Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators, accepted for publication in the International Journal for Numerical Methods in Engineering (IJNME) by Julius Herb and Felix Fritzen [1]. In this publication, we introduce UNO-CG, a hybrid solv...
2d_microstructures.h5 Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Hierarchical Data Format - 215.5 MB - MD5: fe1b6c630feb226ca03d4091dcc987c0 2D microstructure data
3d_microstructures.h5 Feb 2, 2026 - Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators" Hierarchical Data Format - 9.2 GB - MD5: fdf59c7838aefb9c9320d3fa6006d0f5 3D microstructure data

Frquency_sweep_bin.tar

Apr 30, 2026 - DMA measurement of (Ultra) High Performance Concrete under different dynamic loading conditions: before and after fatigue test

TAR Archive - 359.5 MB -

Post_Processing_Code_Extract_Results.tar

Apr 30, 2026 - DMA measurement of (Ultra) High Performance Concrete under different dynamic loading conditions: before and after fatigue test

TAR Archive - 110.0 KB -

Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net"

Feb 25, 2026 - Data Analytics in Engineering

Keshav, Sanath; Fritzen, Felix; Boddapati, Jagannadh; Daraio, Chiara, 2026, "Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net"", https://doi.org/10.18419/DARUS-5730, DaRUS, V1, UNF:6:byGE329uA/9Q5pf0cmyyVw== [fileUNF]

This repository contains supplemental data for the article "Robust inverse material design with physical guarantees using the Voigt-Reuss Net", accepted for publication in the International Journal for Numerical Methods in Engineering by Sanath Keshav and Felix Fritzen. The data in this DaRUS repository complements the accompanying open-source impl...

feature_engineering_mechanical_2D.h5

Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net"

Hierarchical Data Format - 150.1 MB -

2D mechanical dataset

feature_engineering_mechanical_3D.h5

Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net"

Hierarchical Data Format - 34.0 GB -

3D mechanical dataset

metadata_mechanical_3D.csv

Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net"

Tabular Data - 200.5 MB - 8 Variables, 1185030 Observations -

3D mechanical dataset (Metadata)

README.md

Feb 25, 2026 - Supplemental data for "Robust inverse material design with physical guarantees using the Voigt-Reuss Net"

Markdown Text - 10.8 KB -

Supplementary information

Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"

Feb 2, 2026 - Data Analytics in Engineering

Herb, Julius; Fritzen, Felix, 2026, "Supplemental data for "Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators"", https://doi.org/10.18419/DARUS-5686, DaRUS, V1

This repository contains supplemental data for the article Accelerating Conjugate Gradient Solvers for Homogenization Problems with Unitary Neural Operators, accepted for publication in the International Journal for Numerical Methods in Engineering (IJNME) by Julius Herb and Felix Fritzen [1]. In this publication, we introduce UNO-CG, a hybrid solv...

2d_microstructures.h5

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

Hierarchical Data Format - 215.5 MB -

2D microstructure data

3d_microstructures.h5

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

Hierarchical Data Format - 9.2 GB -

3D microstructure data

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