Automated Author Profile

Maj, Michał

Institute of Fundamental Technological Research
0000-0002-3745-3674

Current S-Index

3.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

11

Total datasets for this author

Average FAIR Score

80.8%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Dataset for Hyperelastic Material Parameter Identification of a Polymer Using the Virtual Fields Method and Uniaxial Tensile Tests

This dataset contains experimental data describing the mechanical behavior of a polymer material under non-homogeneous deformation. The study focuses on the identification of hyperelastic material parameters for the material in its as-received state.The dataset consists of five individual files:TPS_2.hdf5 – This file contains the results of the Digital Image Correlation (DIC) analysis of a T-shaped specimen subjected to deformation. The detailed structure of the HDF5 file is described at the following link: https://thermocorr.ippt.pan.pl/output-file-structure.htmlforce_vfm.csv – This file contains the force values measured during the test, synchronized with the DIC results. These data are used in the Virtual Fields Method (VFM) identification procedure.e1.npz, e2.npz, and e3.npz – These files contain stress–strain data obtained from individual uniaxial tensile tests of the investigated polymer.The dataset enables reproduction of the material parameter identification procedure and comparison between heterogeneous-field identification (VFM) and classical uniaxial testing results.

Authors

  • Marcin, Nowak ;
  • Szeptyński, Paweł ;
  • Musiał, Sandra ;
  • Maj, Michał
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.5281/zenodo.186174282026

Dataset for Hyperelastic Material Parameter Identification of a Polymer Using the Virtual Fields Method and Uniaxial Tensile Tests

This dataset contains experimental data describing the mechanical behavior of a polymer material under non-homogeneous deformation. The study focuses on the identification of hyperelastic material parameters for the material in its as-received state.The dataset consists of five individual files:TPS_2.hdf5 – This file contains the results of the Digital Image Correlation (DIC) analysis of a T-shaped specimen subjected to deformation. The detailed structure of the HDF5 file is described at the following link: https://thermocorr.ippt.pan.pl/output-file-structure.htmlforce_vfm.csv – This file contains the force values measured during the test, synchronized with the DIC results. These data are used in the Virtual Fields Method (VFM) identification procedure.e1.npz, e2.npz, and e3.npz – These files contain stress–strain data obtained from individual uniaxial tensile tests of the investigated polymer.The dataset enables reproduction of the material parameter identification procedure and comparison between heterogeneous-field identification (VFM) and classical uniaxial testing results.

Authors

  • Marcin, Nowak ;
  • Szeptyński, Paweł ;
  • Musiał, Sandra ;
  • Maj, Michał
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.5281/zenodo.186174292026

Microstructural origins of energy storage during plastic deformation of 310S TWIP steel

The dataset supports the manuscript titled “Microstructural Origins of Energy Storage During Plastic Deformation of 310S TWIP steel”, posted on arXiv.It contains electron backscatter diffraction (EBSD) maps of the investigated material provided in .ang format. Individual datasets are named according to the corresponding figure numbers in the manuscript. These data are provided to facilitate reproducibility of the reported results and to enable further quantitative analysis of the evolution of local crystallographic orientation and microtexture during deformation.

Authors

  • Musiał, Sandra ;
  • Maj, Michał ;
  • Nowak, Marcin
0 Citations0 Mentions77% FAIR0.4 Dataset Index
10.5281/zenodo.188781992026

Microstructural origins of energy storage during plastic deformation of 310S TWIP steel

The dataset supports the manuscript titled “Microstructural Origins of Energy Storage During Plastic Deformation of 310S TWIP steel”, posted on arXiv.It contains electron backscatter diffraction (EBSD) maps of the investigated material provided in .ang format. Individual datasets are named according to the corresponding figure numbers in the manuscript. These data are provided to facilitate reproducibility of the reported results and to enable further quantitative analysis of the evolution of local crystallographic orientation and microtexture during deformation.

Authors

  • Musiał, Sandra ;
  • Maj, Michał ;
  • Nowak, Marcin
0 Citations0 Mentions77% FAIR0.4 Dataset Index
10.5281/zenodo.188781982026

Plastic work partitioning during slip- and twinning-dominated deformation in AZ31B magnesium alloy

This dataset supports the manuscript currently titled:“Plastic work partitioning during slip- and twinning-dominated deformation in AZ31B magnesium alloy.”Previously posted on arXiv (v1) as:“Slip- and twinning-related dissipation in AZ31B magnesium alloy.”No changes to the data files have been made in this version.It contains the numerical data used to generate all figures presented in the manuscript.An HDF5 file is provided with time-resolved, spatially coupled fields obtained from synchronized digital image correlation (DIC) and infrared thermography (IRT) analyses. Additionally, electron backscatter diffraction (EBSD) maps of the deformed material (in *.ang format) are included.The data cover two specimen geometries: samples cut parallel and perpendicular to the extrusion direction (ED).All files are intended to support reproducibility and further quantitative analysis of deformation and dissipation mechanisms.A detailed description of the HDF5 file structure is available at https://thermocorr.ippt.pan.pl/output-file-structure.html

Authors

  • Maj, Michał ;
  • Musiał, Sandra ;
  • Nowak, Marcin
0 Citations0 Mentions81% FAIR0.3 Dataset Index
10.5281/zenodo.182209802025

Dataset: Use of Infrared Thermography for Inspection of Tensile Deformation of Ti-25Nb-0.5O and Ti-25Nb-0.5N Shape Memory Alloys

Dataset for a manuscriptManuscript ID: proceedings-3885173Type of manuscript: AbstractTitle: Use of Infrared Thermography for Inspection of Tensile Deformation ofTi-25Nb-0.5O and Ti-25Nb-0.5N Shape Memory AlloysAuthors: Karol M. Golasiński, Michał Maj, Sandra Musiał, Hee Young KimProceeding Name: Presented at the 18th International Workshop on AdvancedInfrared Technology and Applications (AITA 2025)

Authors

  • Golasiński, Karol Marek ;
  • Maj, Michał ;
  • Musiał, Sandra ;
  • TASAKI, Wataru ;
  • Kim, Hee Young
0 Citations0 Mentions81% FAIR0.5 Dataset Index
10.5281/zenodo.173481532025

Plastic work partitioning during slip- and twinning-dominated deformation in AZ31B magnesium alloy

This dataset supports the manuscript currently titled:“Plastic work partitioning during slip- and twinning-dominated deformation in AZ31B magnesium alloy.”Previously posted on arXiv (v1) as:“Slip- and twinning-related dissipation in AZ31B magnesium alloy.”No changes to the data files have been made in this version.It contains the numerical data used to generate all figures presented in the manuscript.An HDF5 file is provided with time-resolved, spatially coupled fields obtained from synchronized digital image correlation (DIC) and infrared thermography (IRT) analyses. Additionally, electron backscatter diffraction (EBSD) maps of the deformed material (in *.ang format) are included.The data cover two specimen geometries: samples cut parallel and perpendicular to the extrusion direction (ED).All files are intended to support reproducibility and further quantitative analysis of deformation and dissipation mechanisms.A detailed description of the HDF5 file structure is available at https://thermocorr.ippt.pan.pl/output-file-structure.html

Authors

  • Maj, Michał ;
  • Musiał, Sandra ;
  • Nowak, Marcin
0 Citations0 Mentions81% FAIR0.3 Dataset Index
10.5281/zenodo.186685852025

Slip- and Twinning-Related Dissipation in AZ31B Magnesium Alloy

This dataset accompanies the article “Slip- and Twinning-Related Dissipation in AZ31B Magnesium Alloy”.It contains the numerical data used to generate all figures presented in the manuscript.An HDF5 file is provided with time-resolved, spatially coupled fields obtained from synchronized digital image correlation (DIC) and infrared thermography (IRT) analyses. Additionally, electron backscatter diffraction (EBSD) maps of the deformed material (in *.ang format) are included.The data cover two specimen geometries: samples cut parallel and perpendicular to the extrusion direction (ED).All files are intended to support reproducibility and further quantitative analysis of deformation and dissipation mechanisms.A detailed description of the HDF5 file structure is available at https://thermocorr.ippt.pan.pl/output-file-structure.html

Authors

  • Maj, Michał ;
  • Musiał, Sandra ;
  • Nowak, Marcin
0 Citations0 Mentions81% FAIR0.4 Dataset Index
10.5281/zenodo.182209812025

Dataset: Significant temperature change and inhomogeneous tensile deformation of superelastic Ti–26Nb, Ti–25Nb–0.3O and Ti–25Nb–0.3N shape memory alloys

Dataset for a manuscript

Authors

  • Golasiński, Karol Marek ;
  • Michał, Maj ;
  • Musiał, Sandra ;
  • TASAKI, Wataru ;
  • Kim, Hee Young
0 Citations0 Mentions81% FAIR0.5 Dataset Index
10.5281/zenodo.173495442025

Dataset: Use of Infrared Thermography for Inspection of Tensile Deformation of Ti-25Nb-0.5O and Ti-25Nb-0.5N Shape Memory Alloys

Dataset for a manuscriptManuscript ID: proceedings-3885173Type of manuscript: AbstractTitle: Use of Infrared Thermography for Inspection of Tensile Deformation ofTi-25Nb-0.5O and Ti-25Nb-0.5N Shape Memory AlloysAuthors: Karol M. Golasiński, Michał Maj, Sandra Musiał, Hee Young KimProceeding Name: Presented at the 18th International Workshop on AdvancedInfrared Technology and Applications (AITA 2025)

Authors

  • Golasiński, Karol Marek ;
  • Maj, Michał ;
  • Musiał, Sandra ;
  • TASAKI, Wataru ;
  • Kim, Hee Young
0 Citations0 Mentions81% FAIR0.5 Dataset Index
10.5281/zenodo.173496592025