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34 results for “Al Alloys”
Data for "Nano-scale characterisation of sheared β'' precipitates in a deformed Al-Mg-Si alloy"
<p>This dataset contains data used in the publication entitled "<strong>Nano-scale characterisation of sheared β'' precipitates in a deformed Al-Mg-Si alloy</strong>". This publication concerns how β'' precipitates are sheared by dislocations during deformation. The data contained in this repository are data acquired on various transmission electron microscopes of specimens of the aluminium alloy AA6060 in peak aged condition after uniaxial compression to 5%, 10%, and 20%, in addition to the undeformed reference alloy.</p> <p>There are five main types of data:</p> <ul> <li>Transmission electron microscopy (TEM) images</li> <li>High-resolution TEM images</li> <li>High angle annular dark field (HAADF) scanning TEM (STEM) images</li> <li>Scanning precession electron diffraction (SPED) data.</li> <li>Cross-sectional data of precipitates in undeformed and 20% compressed conditions.</li> </ul> <p>Data for the TEM, HRTEM, and STEM images are kept in zipped folders due to the large number of images (several hundreds for each compression condition). Folders are named following the format of "<alloy>_<compression>_<technique>", where technique refers to TEM, HRTEM, or STEM. Images are provided in both .hdf format and .jpg format (to aid in navigating the data). Please see <a href="https://www.hdfgroup.org/">HDF Group</a> for more information regarding the HDF file format, and <a href="https://www.hdfgroup.org/downloads/hdfview/">HDF View</a> for softaware to read and show HDF data. The Python package <a href="http://hyperspy.org/">HyperSpy</a>, is also useful for loading the HDF data for inspection, analysis, and presentation.</p> <p>For some STEM images, a stack of short-exposure STEM images acquired and analysed using the <a href="http://lewysjones.com/software/smart-align/"><em>SmartAlign</em></a> plugin to <a href="http://www.gatan.com/products/tem-analysis/gatan-microscopy-suite-software"><em>Gatan Digital Micrograph</em></a> is available. SmartAlign offers the possibility of rigidly and non-rigidly aligning the STEM images in the stack in order to reduce effect of specimen drift and scan noise during acquisition. The conventional STEM images are found in the zip archive labelled "STEM". When the filenames of the STEM images include "SAstack" and/or "SAimage", a STEM SmartAlign stack or the average through a non-rigidly aligned stack is available of the same field of view. In such cases, both the SmartAlign stack and the through-stack image is provided in the metadata in the .hdf file (note that not all stacks have been aligned, and in such cases no through-stack image is available). In addition, the SmartAlign stacks themselves are available in the subfolder "STEM\SmartAlign\" within each STEM folder. The through-stack images of the smart align stacks are also provided separately in the subfolder "STEM\SmartAlign\Aligned\". For the 20% compressed case, a lowloss electron energy loss spectroscopy (EELS) spectrum and thickness maps of the imaged areas are also provided, in the subfolder "STEM\EELS\".</p> <p>The SPED data, acquired using the <em>ASTAR</em> system of <em><a href="https://www.nanomegas.com/">NanoMegas</a></em>, is provided as .hdf5 files in the root directory of the repository. They should be read using and <a href="https://github.com/pyxem/pyxem">pyXem</a>. The attached Jupyter Notebook "SPED_data_inspection.ipynb" can be used to access the SPED datasets. These datasets are 4D datasets, with two spatial and two reciprocal dimensions. They have been decomposed using the non-negative matrix factorization algorithm (NMF) used in HyperSpy. These decomposition results are included in the .hdf5 files. In addition, parameters used in the preprocessing of the datasets are attached in the metadata in these files. The metadata of these files are also provided separately as .txt files.</p> <p>Finally, measurements of the precipitate cross-sectional area and circularity is available as .csv files with the first column being the row index, the second the cross-sectional areas of precipitates measured in nanometers squared, the third column is the perimeters of the precipitates measured in nanometers, and column four is the <a href="https://imagej.nih.gov/ij/plugins/circularity.html">circularity</a> of the precipitates.</p>
Data for "Atomic structure of solute clusters in Al-Zn-Mg alloys"
<p>This dataset contains the data used in the publication entitled "<a href="https://www.sciencedirect.com/science/article/abs/pii/S1359645420310119"><strong>Atomic structure of solute clusters in Al-Zn-Mg alloys</strong></a>", published in Acta Materialia 17. December 2020.</p> <p>The data contained herein are:</p> <ul> <li>As-acquired transmission electron microscopy (TEM) images.</li> <li>Atom probe tomography data.</li> <li>All structural models used in density functional theory (DFT) calculations.</li> <li>Structures used for simulating scanning-TEM (STEM) images and nanobeam diffraction (NBD) patterns.</li> </ul> <p> </p> <p>The TEM images includes high angle annular dark field (HAADF) images and selected area diffraction patterns. These are given in .dm3/.dm4 files, and can be opened in e.g. the "<a href="https://www.gatan.com/products/tem-analysis/gatan-microscopy-suite-software">Gatan Microscopy Suite" </a>software. The images are also given as .tif images. The files are names after the "Figx_alloy_condition_xxx". "Figx" refers to the figure in the main article, "alloy" describes the alloy used and "condition" describes from what ageing condition. The uncorrected image series used for Fig. 6c (in the article) is included and requires the <a href="http://lewysjones.com/software/smart-align/">SmartAlign </a>plugin in the Gatan Microscopy Suite to analyse the dataset. SmartAlign allows for correcting rigid and non-rigid distortions in the STEM images in order to reduce effect of specimen drift and scan noise during acquisition. </p> <p>The ATP data is given as a .xlsx file. The data here is the processed data after applying the maximum separation algorithm. The data here is used to produce Figs. 2b and 2c in the paper. <br> <br> The structures used in the DFT calculations are given here as .cif files. These are separated into "Single_clusters" and "Stacked_clusters" and named according to Tabs. 1 and 2 in the Supplementary material of the paper.</p> <p>The two structures used for simulating STEM-HAADF and NBD patterns are given in the folder "TEM_simulations". "Mg32Zn124D_94x94" was used for NBD and "Mg32Zn124D_X_Zn4" was used for HAADF-STEM. The stack used for Supplementary Fig. 7c is labeled "Mg32Zn124D_94x94_slab_1Allayerop.cif".</p> <p> </p> <p> </p> <p> </p>
Negative Muon Spectroscopy Data for Ag-Al-Au Alloys
<p>Negative muon spectroscopy data for Ag/Al/Au alloys. The data is generated by mixing elemental spectra of each of the species in randomly selected ratios. The underlying physical data was collected at the ISIS Neutron and Muon Source. The data is assocaited with the manuscript 'Enhancing Performance of Multilayer Perceptrons by Knot-Gathering Initialization'.</p>
Data for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions"
<p>Data for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions" including:</p> <p>-Raw SEM imaging and EBSD data</p> <p>-Processed SEM images</p> <p>-3D slices</p> <p>-Supplementary summary figure</p> <p>-Supplementary video</p>
Al-Ni-Co quasicrystalline melt-spun alloy - microstructure and catalytic properties
<p>This set contains supplementary data for the work: Al-Ni-Co decagonal quasicrystal application as an energy-effective catalyst<br>for phenylacetylene hydrogenation, Sustainable Materials and Technologies 41 (2024) e01055, https://doi.org/10.1016/j.susmat.2024.e01055</p> <p> </p> <p>SEM BSE images present the microstructure of the cross-section of the ribbon.</p> <p>MS_Surf images show the surface of the ribbons acquired using an optical microscope.</p> <p>TEM images were named as follows:</p> <p>ms_ribb - melt-spun ribbon</p> <p>nabh4_ribb - ribbon cleaned with NaBH4 aqueous solution</p> <p>liq_ribb - ribbon recovered after phenylacetylene hydrogenation reaction </p> <p><a href="../api/records/13371995/draft/files/phenylacetylene%20hydrogenation%20reactions.ods/content" target="_blank" rel="noopener noreferrer">phenylacetylene hydrogenation reactions.ods</a> - Reaction course of phenylacetylene hydrogenation reactions with new portions of catalyst. Chemical composition of the reaction mixture was evaluated using the gas chromatography method.</p> <p>XPS spectra were collected for surfaces of ribbons in a melt-spun form and recovered after the phenylacetylene hydrogenation reaction. </p> <p> </p> <p>The material preparation and microstructural analyses were performed at the Institute of Metallurgy and Materials Science of the Polish Academy of Sciences.</p> <p>The experimental procedure for material preparation, instrumentation, data collection and results analysis were described in the work: https://doi.org/10.1016/j.susmat.2024.e01055</p> <p> </p> <p>Preparation of materials: Amelia Zięba</p> <p>TEM images collection (FEI Tecnai G2, ThermoFisher Titan Themis G2 200 Probe Cs-Corrected): Amelia Zięba, Lidia Lityńska-Dobrzyńska</p> <p>SEM images acquisition (FEI E-SEM XL-30): Amelia Zięba</p> <p>Catalytic performance tests: Dorota Duraczyńska</p> <p>XPS study: Mateusz Marzec</p> <p> </p> <p><em><strong>Acknowledgements</strong></em></p> <p><strong><em>The work was financially supported by the National Science Centre (NCN), Poland, project No. 2021/41/N/ST8/02533.</em></strong></p> <p> </p>
Supplementary Information and EBSD data for 'Intermetallic phase layers in cold metal transfer aluminium-steel welds with an Al-Si-Mn filler alloy'
<p>Supplementary information and electron backscatter diffraction (EBSD) data for the article entitled 'Intermetallic phase layers in cold metal transfer aluminium-steel joints with an Al-Si-Mn filler alloy'. There are three EBSD datasets, I-III, named "I_EBSD.dat" - "III_EBSD.dat", each with corresponding calibration and background patterns, as well as secondary electron scanning electron microscopy images showing the scanned area and text files containing the acquisition parameters. The data analysis workflow has been published on GitHub, see References.</p>
Brinell-Hardness (HBW 2.5/62.5) of Al-alloy EN AW-2618A after different aging times and temperatures
<p>The dataset contains data from Brinell hardness measurements of Al-alloy EN AW-2618A after aging for different times and temperatures. Aging was either load free or with applied tensile load (creep). The investigated material and the applied methods were described in detail in two publications.</p> <p>Version 2.0 has been extended with additional data for further ageing temperatures.</p> <p>Further information is provided in the file content.pdf.</p>
Radii of S-phase Al2CuMg in Al-alloy EN AW-2618A after different aging times at 190°C
<p>The dataset contains data from quantitative microstructural analysis of transmission electron microscopy (TEM) studies of the S-phase (Al<sub>2</sub>CuMg) radii in Al-alloy EN AW 2618A. The investigated material and the applied methods were described in detail in two publications. Further information is provided in the file content.pdf.</p> <p>The conversion factor between pixel and length/area has been corrected/clarified in version 1.2 of the content file.</p>
Dataset for publication:Dataset for publication: "Application of shot peening to improve fatigue properties via enhancement of precipitation response in high-strength Al-Cu-Li alloys"
<p>The dataset contains a set of experimental data used in preparation for the manuscript "Application of shot peening to improve fatigue properties via enhancement of precipitation response in high-strength Al-Cu-Li alloys." The dataset contains results of fatigue tests, residual stress measurements, nanoindentation measurements, and surface roughness data.</p>
Visualizations for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions
<p>- Author manuscript version of paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions".</p> <p>- Visualization for paper entitled, "Discontinuous Precipitation in Mg-Al Alloy Studied in 3-Dimensions". This enables the 3D dataset to be visualized using the free software package Paraview (<a href="https://www.paraview.org">https://www.paraview.org</a>). Instructions are provided.</p> <p>- Animation created of 3D visualization (using Aviso)</p> <p>NOTE: The full set of raw data used to create the results in the paper is available at:</p> <pre><a href="https://doi.org/10.5281/zenodo.7108545">https://doi.org/10.5281/zenodo.7108545</a></pre> <p> </p> <p> </p> <p> </p>
In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning
<p>This dataset includes the <em>in situ</em> impedance and time/temperature data from [1], grain structure data created by extrusion simulation coupled with physically-based microstructural simulation [2], and the predictions of the feed-forward neural network GRAINN-1/2 [1].</p> <p>[1] Österreicher, J. A., Zivanovic, D., Walenta, W., Maimone, S.,Hofbauer, M., Hovden, S., Tükör, Z., Arnoldt, A., Cerny, A. Kronsteiner, A., Antic, M., Zickler, G., Ehmeier, F., Mikulovic, M., Kunschert, G. (2024) . In situ conductometry for studying the homogenization of Al-Mg-Si alloys and predicting extrudate grain structure through machine learning. <em>Materials & Design</em>, 113070.</p> <p>[2] Hovden, S., Kronsteiner, J., Arnoldt, A., Horwatitsch, D., Kunschert, G., & Österreicher, J. A. (2024). Parameter study of extrusion simulation and grain structure prediction for 6xxx alloys with varied Fe content. <em>Materials Today Communications</em>, <em>38</em>, 108128.</p>
Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy - Supporting Data
<p>Data related to measured dispersoid compositions and calculated dispersoid volume fractions:</p> <p>Dispersoid Composition in Zirconium Containing Al-Zn-Mg-Cu (AA7010) Aluminium Alloy<br> A.M. Cassell, J. D. Robson, C. P. Race, A. Eggeman, T. Hashimoto, M. Besel.</p> <p>Submitted to Acta Materialia.</p> <p>Datafile of compositions to reproduce Fig.8 in paper (.mat Matlab format)</p> <p>Datafile of predicted dispersoid volume fractions on which calculations were performed to produce Fig. 10 in paper (comment in datafile provides further details)</p>
The behaviour of copper at the nano-scale in an Al-Zn-Mg-Cu alloy, AA7010
<p>Data plots and images accompanying figures to paper.</p>
Al-Co-Cu alloy - melt-spun ribbons and powder - SEM and TEM microstructure
<p>This set contains SEM and TEM images with EDS chemical composition data for Al-Co-Cu alloy in a melt-spun ribbon form, which was applied as a catalyst for the phenylacetylene hydrogenation reaction. </p> <p>The material preparation and microstructural analyses were performed at the Institute of Metallurgy and Materials Science of the Polish Academy of Sciences.</p> <p>The experimental procedure for material preparation, instrumentation, data collection and results analysis were described in the work: https://doi.org/10.1007/s43452-024-00904-x</p> <p> </p> <p>Preparation of materials: Amelia Zięba</p> <p>TEM images collection (FEI Tecnai G2, ThermoFisher Titan Themis G2 200 Probe Cs-Corrected): Amelia Zięba, Lidia Lityńska-Dobrzyńska</p> <p>SEM images acquisition (FEI E-SEM XL-30): Amelia Zięba</p> <p> </p> <p>Files description code:</p> <p>sem_rib_2000_1 - SEM BSE image of a melt-spun ribbon_magnification_image no</p> <p>sem_pwdr_1000_1 - SEM BSE image of pulverised melt-spun ribbons_magnification_image no</p> <p>sem_pwdr_ar_1000_1 - SEM BSE image of pulverised melt-spun ribbons recovered after use as a catalyst in the phenylacetylene hydrogenation reaction_magnification_image no</p> <p>tem_bf_1 - TEM bright field image of a melt-spun ribbon sample (FIB lamella)_image no</p> <p>tem_dyf_5 - selected area electron diffraction of a melt-spun ribbon sample - the number indicates a corresponding image number</p> <p>EDS-HAADF_img_1 - STEM image of a melt-spun ribbon sample (FIB lamella) with EDS corresponding maps and line analyses</p> <p>TEM_eds_point_analysis.txt - results of point analyses for EDS-HAADF_img_x series</p> <p>stem_pwdr_ar_1 - STEM images of powder recovered after reaction with EDS analysis results: eds_spec_stem_pwdr_ar_1</p> <p> </p> <p><em><strong>Acknowledgements</strong></em></p> <p><strong><em>The work was financially supported by the National Science Centre (NCN), Poland, project No. 2021/41/N/ST8/02533.</em></strong></p> <p> </p>
Accompanying data for paper Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments
<p>Links</p> <ul> <li>Data DOI: <a href="https://doi.org/10.5281/zenodo.7729452">10.5281/zenodo.7729452</a></li> <li>Article <em>Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments</em>, DOI: <a href="https://doi.org/10.46298/jtcam.8913">10.46298/jtcam.8913</a></li> </ul> <p>Authors</p> <ul> <li>Xiang Kong, <a href="mailto:xiang.kong@minesparis.psl.eu">xiang.kong@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-0835-3826">0000-0002-0835-3826</a></li> <li>Jianqiang Chen, Pratt & Whitney Canada, 1000 Boul. Marie-Victorin, Longueuil, QC J4G 1A1 Canada</li> <li>Yazid Madi, <a href="mailto:yazid.madi@minesparis.psl.eu">yazid.madi@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-3530-8668">0000-0002-3530-8668</a></li> <li>Djamel Missoum-Benziane, <a href="mailto:djamel.missoum-benziane@minesparis.psl.eu">djamel.missoum-benziane@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-9877-8261">0000-0002-9877-8261</a></li> <li>Jacques Besson, <a href="mailto:jacques.besson@minesparis.psl.eu">jacques.besson@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0003-1975-2408">0000-0003-1975-2408</a></li> <li>Thilo F. Morgeneyer, <a href="mailto:thilo.morgeneyer@minesparis.psl.eu">thilo.morgeneyer@minesparis.psl.eu</a>, MINES Paris, PSL University, Centre des Matériaux, CNRS UMR 7633, Evry France, ORCID: <a href="https://orcid.org/0000-0002-0278-9565">0000-0002-0278-9565</a></li> </ul> <p>Language</p> <ul> <li>English</li> </ul> <p>Licence</p> <ul> <li>CC BY 4</li> </ul> <p>Contributions</p> <ul> <li>Conception and design of study, revising the manuscript critically for important intellectual content: TFM, JB.</li> <li>Acquisition of data: XK, JC, YM.</li> <li>Analysis and/or interpretation of data: XK, DMB, TFM.</li> </ul> <p>Associated article</p> <p>Xiang Kong, Jianqiang Chen, Yazid Madi, Djamel Missoum-Benziane, Jacques Besson, Thilo Morgeneyer "Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments" Journal of Theoretical, Computational and Applied Mechanics (JTCAM), March 13, 2023, DOI: <a href="https://doi.org/10.46298/jtcam.8913">10.46298/jtcam.8913</a>, HAL: <a href="https://hal.science/hal-03497233v3">hal-03497233v3</a></p> <p>Keywords</p> <ul> <li>plastic anisotropy</li> <li>mechanical testing</li> <li>non-proportional loading</li> <li>static loading</li> <li>ductile fracture</li> </ul> <p>Data collection: period and details</p> <ul> <li>Sept 2018 - June 2022, PhD period of Xiang Kong</li> <li>Mechanical experiments mainly were performed at the Centre des Materiaux in Evry, France, except the laminographic experiment which was performed at the ESRF ID19b in Grenoble, France, while numerical simulations were performed in <a href="http://www.zset-software.com/">Z-set/Zebulon</a> on the cluster at the Centre des Materiaux.</li> </ul> <p>Recommended citation line for the data</p> <p>Xiang Kong, Jianqiang Chen, Yazid Madi, Djamel Missoum-Benziane, Jacques Besson, & Thilo F. Morgeneyer. (2023). Accompanying data for paper Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments [Data set]. <a href="https://doi.org/10.5281/zenodo.7729452">10.5281/zenodo.7729452</a></p> <p>Funding sources</p> <ul> <li>ANR (Lambda project: ANR17-CE08-0051 and Alicandte project)</li> </ul> <p>Data structure and information</p> <ul> <li>The output data were used to produce Figures 6-9, 16-19, 23 from the associated article.</li> <li>Folder/files structure: <ul> <li><code>Experiments_Simulations_results/</code> <ul> <li><code>2198T3R/</code> - folder containing results for material AA2198T3R</li> <li><code>T3R_EXP_*.csv</code> - experimental data files</li> <li><code>T3R_SIM_*.csv</code> - simulation output</li> <li><code>README.md</code></li> <li><code>2198T8R/</code> - folder containing results for material AA2198T8R</li> <li><code>T8R_EXP_*.csv</code> - experimental data files</li> <li><code>T8R_SIM_*.csv</code> - simulation output</li> <li><code>README.md</code></li> <li><code>plot_T3R.py</code> - python script plotting results for material AA2198T3R</li> <li><code>plot_T8R.py</code> - python script plotting results for material AA2198T8R</li> <li><code>README.md</code></li> </ul> </li> <li><code>Simulation_input_files/</code> <ul> <li><code>2198T3R.mat,2198T8R.mat,steel.mat</code> - material properties files for Z-set/Zébulon</li> <li><code>postprocess.inp</code> - postprocessing input file for Z-set/Zébulon</li> <li><code>*.inp</code> - FE solver input files for Z-set/Zébulon</li> <li><code>post.py</code> - Python script to plot processed data</li> <li><code>README.md</code></li> <li><code>mesh_files/</code> <ul> <li><code>scale.inp</code> - Z-set/Zébulon mesh modifier</li> <li><code>ST_*.geof</code> - mesh files in Z-set/Zébulon format</li> <li><code>README.md</code></li> </ul> </li> </ul> </li> <li><code>.solidipes/</code> - curation tool metadata (not a part of the dataset)</li> </ul> </li> </ul>
Room temperature and elevated temperature tensile test and elastic properties data of Al-alloy EN AW-2618A after different aging times and temperatures
<p><span>The dataset contains two types of data: elastic properties (Young's and shear modulus, Poisson's ratio) between room temperature and 250 °C and a set of tensile tests at different aging times, aging temperatures, and test temperatures. </span></p>
Dataset for "Studying GPI zones in Al-Zn-Mg alloys by 4D-STEM"
<p>This dataset contains the data used in the publication titled "Studying GPI zones in Al-Zn-Mg alloys by 4D-STEM" currently in review in Materials Characterization.</p> <p>The data in this dataset are:</p> <ul> <li>Raw SPED data</li> <li>All structural models used in the density functional theory (DFT) calculations</li> </ul> <p>The raw SPED data are given as .mib- and .hdr files and can be opened using e.g. the Python package HyperSpy. The jupyter notebook used to analyse the data is available from <a href="https://doi.org/10.5281/zenodo.5518852">10.5281/zenodo.5518852</a>. A total of five SPED datasets were used in the analysis and are included in the .zip-file.</p> <p>The DFT calculations are given in the OUTCAR files. OUTCAR1 contains all the information about the initial relaxation. OUTCAR2 contains all the information about the final relaxations steps at a higher accuracy than OUTCAR1. OUTCAR3 contains all the information about the accurate energy calculations. </p> <p> </p>
Cast Al-Si-Mg alloy APT data
<p>Data from publication. Will be opened when publication is online (hopefully 2022).</p> <p>Atom probe tomography data.</p>
Electron backscatter diffraction data and backscatter electron images from a cold-rolled and recovered Al-Mn alloy
<p>Three electron backscatter diffraction (EBSD) data sets and three sets of backscatter electron (BSE) images from the same region of interest in a cold-rolled and recovered Al-Mn alloy.</p> <p>The data forms part of the supplementary material to the paper H W Ånes, A T J van Helvoort, K Marthinsen "Correlated subgrain and particle analysis of a recovered Al-Mn alloy by directly combining EBSD and backscatter electron imaging" (2022), published in Materials Characterization.</p> <p>The data was acquired in order to study the effect of particles on recovery and recrystallization in the Al-Mn alloy. The particles detected in the BSE images were inserted in the EBSD map after the EBSD map had been corrected for distortions by image registration using the BSE images.</p> <p>See the GitHub repository https://github.com/hakonanes/correlated-grains-particles-workflow for Jupyter notebooks and (MATLAB) MTEX scripts used to analyze the data.</p>
Data for "Structure, short-range order, and phase stability of the Al$_x$CrFeCoNi high-entropy alloy: Insights from a perturbative, DFT-based analysis"
<p>Data associated with "Structure, short-range order, and phase stability of the AlxCrFeCoNi high-entropy alloy: Insights from a perturbative, DFT-based analysis", published in npj Comput. Mater. <strong>10</strong>, 271 (2024).</p>
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