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. 2019 Dec 5;28:104939. doi: 10.1016/j.dib.2019.104939

The Ag–Li system's experimental and ab initio thermodynamic dataset

M Helena Braga a,, Adam Dębski b,∗∗, Sylwia Terlicka b, Wladyslaw Gąsior b, Anna Góral b
PMCID: PMC6926103  PMID: 31890791

Abstract

The Ag–Li system was analysed using first-principles calculations 10.1016/j.jallcom.2019.152811 [1]. The method included using density functional theory to optimize the crystal structure of the phases constituting the binary phase diagram by relaxing atomic positions, volume, and shape. The optimized structures were subsequently used to calculate thermodynamic properties at different temperatures; by determining the zero-point energy, the vibrational internal energy, and the entropy, the heat capacity at constant volume was obtained as well as the phases' stability limits. Furthermore, optimized structures were used to calculate the XRD patterns and to compare them with experimental data. All the referred data are now accessible to researchers and industrials demanding to work with binary and higher-order systems that include Ag and Li, for example, for energy storage. Binaries should be well assessed prior to higher-order phase diagrams and in that resides additional usefulness to this data.

Keywords: Enthalpy of formation, Gibbs energy of formation, XRD, Vibrational heat capacity at constant volume, Thermal linear expansion coefficient, Phase diagrams


Specifications Table

Subject Metals and Alloys
Specific subject area Experimental and calculated Thermodynamic and structural data for the assessment of the Ag–Li system with applications in energy storage and high-temperature solders
Type of data Table
How data were acquired Instruments: Structural studies, D2 Phaser (Bruker, Cu Kα radiation) diffractometer
Software: VASP, MT, and Phonon as implemented in Materials Design (2.22.6, 2019)
Data format Raw
Parameters for data collection The experimental structural XRD data were obtained using a CuKα radiation source.
The calculated data were obtained using a plane wave cut-off of at least 400.00 eV and k-spacings of 0.230 × 0.230 × 0.230 Å−1
Description of data collection The XRD data were obtained with a Bragg Brentano configuration for polycrystalline samples with a wavelength of λ = 0.1542 nm.
The calculated data were obtained by building the crystal structure of the phase and optimizing it using VASP and allowing structure, volume, and atomic sites to relax and then, in a subsequent run, using MT or phonon to obtain the Thermodynamic properties vs temperature.
Data source location Institution: University of Porto – FEUP
City/Town/Region: Porto
Country: Portugal
Latitude and longitude (and GPS coordinates) for collected samples/data: Latitude: 41°10′45.59″ N Longitude: −8°35′40.74″ W
Data accessibility With the article “Experimental and ab initio study of the Ag–Li system for energy storage and high-temperature solders”
Mendeley DOI: https://doi.org/10.17632/vfpy3w6yn3.1
Related research article Author's names: M. H. Braga, A. Dębski, S. Terlicka, W. Gąsior, A. Góral
Title: Experimental and ab initio study of the Ag–Li system for energy storage and high-temperature solders
Journal: JALCOM
https://doi.org/10.1016/j.jallcom.2019.152811
Value of the Data
  • These data are useful for the research and for the industry related to energy storage materials and high temperature solders

  • The crystallography and CALPHAD researchers will benefit from these data; the latter because they need experimental and ab initio data to assess binary and higher-order phase diagrams

  • The phase diagram needs to be reassessed and the experimental data are scarce since high reactivity of lithium at elevated temperature with the air contained elements (O2, N2, H2O) and the high energy effects accompanying the respective reactions makes it very difficult to obtain good quality results, therefore, the calculated data provides new insights for samples preparation and experimental planification

1. Data

  • 1

    - Ag30Li70-experimental-XRD.txt

X-ray diffraction pattern for the Ag30Li70 alloy, including settings on the experimental run, followed by two columns with the 2θ(°) and Intensity(a.u.) normalized to an Imax = 100. No zero-shift correction and no normalization were performed. The configuration of the diffractometer is Bragg-Brentano and the sample was polycrystalline. The source used was CuKα.

  • 2

    - Ag4Li9-gamma-disordered-calculated-XRD.txt

X-ray diffraction simulated pattern constituted by two columns with 2θ(°) and Intensity(a.u.) normalized to Imax = 100 for the γ-Ag4Li9 disordered phase. The simulated source used was CuKα.

  • 3

    - Ag3Li10_gamma_disordered_calculated-XRD.txt

X-ray diffraction simulated pattern constituted by two columns with 2θ(°) and Intensity(a.u.) normalized to Imax = 100 for the γ-Ag3Li10 disordered phase. The simulated source used was CuKα.

  • 4

    - Ag15Li49-beta-calculated-XRD.txt

X-ray diffraction simulated pattern constituted by two columns with 2θ(°) and Intensity(a.u.) normalized to Imax = 100 for the β-Ag15Li49 phase. The simulated source used was CuKα.

  • 5

    - Ag4Li9-gamma-disordered-calculated-Cv.txt

Calculated vibrational heat capacity at constant volume for temperatures below the melting point T < 500 K for the γ-Ag4Li9 disordered phase that was optimized using DFT. The melting point is not known with precision. Two columns with the data: T(K), and Cv(J.K−1mol−1) included.

  • 6

    - Ag4Li9-gamma-disordered-calculated-alpha.txt

Calculated thermal linear expansion coefficient for γ-Ag4Li9 disordered phase for temperatures below the melting point T < 500 K. The melting point is not known with precision. Two columns with the data: T(K), and α(K−1) × 106 included.

  • 7

    - Hf-data-298K.txt

Calculated enthalpies of formation, Hf, for several phases (stable and unstable) at 298 K. Three columns: compound(stoichiometry), x(Li), and Hf(kJ.mol of atoms−1) included.

  • 8

    - Gf-data-298K.txt

Calculated Gibbs energies of formation, Gf, for several phases (stable and unstable) at 298 K. Three columns: compound(stoichiometry), x(Li), and Gf(kJ.mol of atoms−1) included.

  • 9

    - Hf-data-320K.txt

Calculated enthalpies of formation, Hf, for several phases (stable and unstable) at 320 K. Three columns: compound(stoichiometry), x(Li), and Hf(kJ.mol of atoms−1) included.

  • 10

    - Gf-data-320K.txt

Calculated Gibbs energies of formation, Gf, for several phases (stable and unstable) at 320 K. Three columns: compound(stoichiometry), x(Li), and Gf(kJ.mol of atoms−1) included.

  • 11

    - Hf-data-425K.txt

Calculated enthalpies of formation, Hf, for several phases (stable and unstable) at 425 K. Three columns: compound(stoichiometry), x(Li), and Hf(kJ.mol of atoms−1) included.

  • 12

    - Gf-data-425K.txt

Calculated Gibbs energies of formation, Gf, for several phases (stable and unstable) at 425 K. Three columns: compound(stoichiometry), x(Li), and Gf(kJ.mol of atoms−1) included.

  • 13

    - Hf-data-600K.txt

Calculated enthalpies of formation, Hf, for several phases (stable and unstable) at 600 K. Three columns: compound(stoichiometry), x(Li), and Hf(kJ.mol of atoms−1) included.

  • 14

    - Gf-data-600K.txt

Calculated Gibbs energies of formation, Gf, for several phases (stable and unstable) at 600 K. Three columns: compound(stoichiometry), x(Li), and Gf(kJ.mol of atoms−1) included.

Table 1.

Details on the phases' structure and optimization.

Compound x(Li) Initial structure
space group
Method used to obtain the final structure
Ag15Li 0.0625 Fm-3m SQS
Ag7Li 0.125 Fm-3m SQS
Ag13Li3 0.1875 Fm-3m SQS
Ag3Li 0.25 Fm-3m SQS
Ag11Li5 0.3125 Fm-3m SQS
Ag17Li15 0.46875 Pm-3m random substitution
AgLi 0.5 I41/amd N.A.
AgLi 0.5 Pm-3m N.A.
Ag63Li65 0.50781 Pm-3m random substitution
Ag31Li33 0.51563 Pm-3m random substitution
Ag61Li67 0.52344 Pm-3m random substitution
Ag59Li69 0.53906 Pm-3m random substitution
Ag55Li73 0.57031 Pm-3m random substitution
Ag51Li77 0.60156 Pm-3m random substitution
Ag4Li9 0.69231 I-43m Disordered as close as published [6,7]
Ag15Li37 0.71154 I-43m random substitution
Ag7Li19 0.73077 I-43m random substitution
Ag15Li49 0.76563 Pm-3m random substitution
AgLi7 0.875 Fm-3m SQS

Details on Ag–Li phases' composition, structures and optimization methods (compound, x(Li), initial structure space group, and method to obtain the final optimized structure).

2. Experimental design, materials, and methods

The Ag30Li70 sample was prepared as described in Ref. [1]. The XRD data were obtained from 10 to 90° (2θ) with a Bragg Brentano configuration for polycrystalline samples with a wavelength of λ = 0.1542 nm which is, in fact, an average of two closely spaced peaks (CuKα1 and CuKα2).

The theoretical background in Ref. [1] explains the calculations of the Thermodynamic data included in this database; the theoretical principles were used as implemented in VASP [2], MT [3] and Phonon [4].

Each phase was optimized from a structure that was obtained using random substitution, special quasirandom structure (SQS), or substitutional search, depending on the type of structure (e.g. fcc or bcc). Since SQS's mimics well the local atomic structure of the random alloy, their electronic properties, calculable via first-principles techniques, provide a representation of the electronic structure of the alloy [5]. Table 1 shows the stoichiometry of the compound, the initial space group, and the method used for obtaining the compounds whose thermodynamic data is included in the dataset associated with this work.

Acknowledgments

The authors want to acknowledge COMPETE2020 and the FCT project PTDC/CTM-ENE/2391/2014. The authors wish to express their gratitude to the Ministry of Science and Higher Education of Poland for funding Project No. IP2012 035572 “Thermodynamic research on Ag–Li alloys as a material for safe storage of hydrogen and energy”, financed from the budget for science in the years 2013–2015 and the European Union for the financial support of Project POIG.02.01.00–12–175/09.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.dib.2019.104939.

Contributor Information

M. Helena Braga, Email: mbraga@fe.up.pt.

Adam Dębski, Email: a.debski@imim.pl.

Conflict of Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Appendix A. Supplementary data

The following is the Supplementary data to this article:

Multimedia component 1
mmc1.zip (119.6KB, zip)

References

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Multimedia component 1
mmc1.zip (119.6KB, zip)

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