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This dataset provides segregation energy spectra information for cobalt solute in 7272 aluminum grain boundaries that span the 5D space of crystallographic character. The dataset and some of its characteristics are described in detail in https://doi.org/10.1016/j.actamat.2024.120448. The information about the segregation energy spectra are included in a CSV file. Each GB is identified by a computeID that is listed in the CSV file. The crystallographic character and selected properties for each GB, as well as its structure, are available in another dataset at https://doi.org/10.17632/4ykjz4ngwt, and which is described in an article at https://doi.org/10.1016/j.actamat.2022.118006. Note that the A README file provides a description of the columns of the CSV file. 

Solute segregation in materials with grain boundaries (GBs) has emerged as a popular method to thermodynamically stabilize nanocrystalline structures. However, the impact of varied GB crystallographic character on solute segregation has never been thoroughly examined. This work examines Co solute segregation in a dataset of 7272 Al bicrystal GBs that span the 5D space of GB crystallographic character. Considerable attention is paid to verification of the calculations in the diverse and large set of GBs. In addition, the results of this work are favorably validated against similar bicrystal and polycrystal simulations. As with other work, we show that Co atoms exhibit strong segregation to sites in Al GBs and that segregation correlates strongly with GB energy and GB excess volume. Segregation varies smoothly in the 5D crystallographic space but has a complex landscape without an obvious functional form. 

One of the major challenges towards understanding and further utilizing the properties and functional behaviors of grain boundaries (GB) is the complexity of general GBs with mixed tilt and twist character. Here, we report the correlations between mixed GBs and their tilt and twist components in terms of structure, energy and stress field by computationally examining 7440 silicon GBs. Such correlations indicate that low angle mixed GBs are formed through the reconstruction mechanisms between their superposed tilt and twist components, which are revealed as the energetically favorable dissociation, motion and reaction of dislocations and stacking faults. In addition, various complex disconnection network structures are discovered near the conventional twin and structural unit GBs, implying the role of disconnection superposition in forming high angle mixed GBs. By unveiling the energetic correlation, an extended Read-Shockley model that predicts the general trends of GB energy is proposed and confirmed in various GB structures across different lattices. Finally, this work is validated in comparison with experimental observations and first-principles calculations. 

This dataset of 7304 aluminum grain boundaries provides comprehensive coverage of the 5D space of crystallographic character. The dataset and some of its characteristics are described in detail in https://doi.org/10.1016/j.actamat.2022.118006. The dataset here includes a zip file with all 7304 minimum energy grain boundary structure files, which are minimized dump files from LAMMPS. The dump files only include atoms +/- 15 angstroms from the grain boundary plane. The CSV file contains information about all 7304 grain boundaries, including information about the crystallographic character and a few computed properties. A README file provides a description of the columns of the CSV file.