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. 2018 Aug 31;20:1537–1551. doi: 10.1016/j.dib.2018.08.144

Data set for diffusion coefficients and relative creep rate ratios of 26 dilute Ni-X alloy systems from first-principles calculations

Chelsey Z Hargather a,b,, Shun-Li Shang a, Zi-Kui Liu a
PMCID: PMC6153149  PMID: 30258957

Abstract

The development of future generations of Ni-base superalloys will depend on a systematic understanding of how each alloying element affects the fundamental properties of Ni-base superalloys, particularly with respect to their creep behavior. First, this article presents the temperature-dependent data of all factors entering into dilute impurity diffusion for 26 Ni-X alloy systems, including atomic jump frequencies, thermodynamic parameters, and diffusivity plots. Second, this article presents the data used to calculate the relative creep rate ratios showing the effect of each of the 26 alloying elements, X, on the dilute Ni-X alloy. The dataset refers to “A comprehensive first-principles study of solute elements in dilute Ni alloys: Diffusion coefficients and their implications to tailor creep rate” by Hargather et al. [1].


Specifications table

Subject area Materials Science
More specific subject area Ni-base superalloys
Type of data Tables, figures
How data was acquired Density functional theory calculations using
Vienna Ab-initio Simulation Package (VASP)
Data format Analyzed
Experimental factors Not applicable
Experimental features Not applicable
Data source location State College, PA, USA
Data accessibility All data is available in this article

Value of the data

  • Future Ni alloys or Ni-base superalloys can be designed using the diffusion coefficient and relative creep rate ratio data from this systematic study for 26 Ni-X alloy systems.

  • A less-computationally expensive but accurate method for calculating all factors entering into dilute solute diffusion as a function of temperature is demonstrated.

  • The diffusion coefficient data could be useful for future development or validation of CALPHAD-style diffusion mobility databases.

1. Computational methodology

Dilute solute diffusion coefficients as a function of temperature were calculated in the present work using density functional theory within the confines of the 5-frequency model [2], [3]. 26 solute atoms were studied in the present work: Al, Co, Cr, Cu, Fe, Hf, Ir, Mn, Mo, Nb, Os, Pd, Pt, Re, Rh, Ru, Sc, Si, Ta, Tc, Ti, V, W, Y, Zn, and Zr.

Total energy calculations are carried out for a 32-atom supercell using the plane wave density functional code, Vienna ab-initio Simulation Package (VASP) [4]. A constant plane wave energy cutoff of 350 eV is used for all calculations, which is 1.3 times the default plane wave energy cutoff of nickel and larger than plane wave energy cutoff of all other solute atoms considered. A Monkhorst-Pack k-mesh scheme is used for all calculations, with a sampling of 8 × 8 × 8 for each system studied. For relaxation during the VASP calculations, the Methfessel-Paxton smearing method [5] is used for the calculation of forces acting on the atoms, and a final static calculation is performed after each relaxation using the linear tetrahedron method with Blöchl׳s [6] correction for an accurate total energy calculation. Total electronic energy is converged to be at least 105 eV/atom. Due to the ferromagnetism of nickel up until its Curie point, [7], all calculations are performed in the present work within the spin polarized approximation. Further details of diffusion and computational theory can be found in the main article by Hargather et al. [1].

2. Data

2.1. 0 K results

Fig. 1 shows the effect of having one solute atom and no vacancies present in the 32-atom Ni supercell at 0 K on the following properties: equilibrium volume V0, bulk modulus, B0, first derivative of bulk modulus with respect to pressure, B0, and spin magnetic moment, MM. These results are shown without the effect of zero point vibrational energy.

Fig. 1.

Fig. 1

EOS calculated equilibrium properties for the ps (Ni31X) at 0 K without the effect of zero point vibrational energy. The (a) equilibrium volume V0, (b) bulk modulus, B0, (c) first derivative of bulk modulus with respect to pressure, B0, and (d) spin magnetic moment MM are plotted as a function of atomic number along different rows in the periodic table.

2.2. Atomic jump frequencies and thermodynamic parameters for all 26Ni31X systems

The data in this section presents all factors relating to dilute solute diffusion as a function of temperature for all 26Ni31X systems studied in the present work. Data is presented at T=700 K and T=1700 K. A detailed explanation of each of the jump frequencies and importance of the thermodynamic parameters can be found in the main article by Hargather et al. [1]. Table 1 gives the Gibbs energy of migration for each jump in the 5-frequency model for each of the 26 solutes in a Ni host lattice at the designated temperatures.

Table 1.

Gibbs energy of migration, ΔGm for each of the five jump frequencies for dilute solute diffusion of all 26Ni31X systems studied in the present work.

Solute Temp, (K) ΔGm0 (eV) ΔGm1 (eV) ΔGm2 (eV) ΔGm3 (eV) ΔGm4 (eV)
Al T=700 K 1.12 1.36 0.79 1.29 1.11
T=1700 K 1.07 1.43 0.86 1.34 1.19


 

 

 

 

 

 


Co T=700 1.12 1.24 1.38 1.23 1.27
T=1700 1.07 1.27 1.41 1.27 1.32


 

 

 

 

 

 


Cr T=700 1.12 1.18 1.30 1.20 1.27
T=1700 1.07 1.25 1.20 1.19 1.32


 

 

 

 

 

 


Cu T=700 K 1.12 1.27 0.98 1.25 1.17
T=1700 K 1.07 1.34 1.04 1.31 1.24


 

 

 

 

 

 


Fe T=700 1.12 1.29 1.20 1.23 1.25
T=1700 1.07 1.33 1.26 1.27 1.32


 

 

 

 

 

 


Hf T=700 1.12 1.73 0.40 1.36 0.79
T=1700 1.07 1.75 0.51 1.40 0.92


 

 

 

 

 

 


Ir T=700 1.12 1.41 1.72 1.07 1.17
T=1700 1.07 1.46 1.77 1.14 1.25


 

 

 

 

 

 


Mn T=700 1.12 1.24 0.95 1.35 1.27
T=1700 1.07 2.02 1.72 2.23 1.45


 

 

 

 

 

 


Mo T=700 1.12 1.44 1.31 1.15 1.07
T=1700 1.07 1.48 1.37 1.20 1.18


 

 

 

 

 

 


Nb T=700 1.12 1.58 0.76 1.24 0.92
T=1700 1.07 1.60 0.85 1.27 1.03


 

 

 

 

 

 


Os T=700 1.12 1.38 1.89 1.06 1.21
T=1700 1.07 1.42 1.95 1.14 1.32


 

 

 

 

 

 


Pd T=700 1.12 1.44 1.11 1.19 1.04
T=1700 1.07 1.49 1.18 1.25 1.13


 

 

 

 

 

 


Pt T=700 1.12 1.43 1.37 1.13 1.07
T=1700 1.07 1.47 1.42 1.18 1.15


 

 

 

 

 

 


Re T=700 1.12 1.38 1.89 1.09 1.18
T=1700 1.07 1.44 1.97 1.16 1.31


 

 

 

 

 

 


Rh T=700 1.12 1.41 1.40 1.13 1.14
T=1700 1.07 1.44 1.43 1.18 1.21


 

 

 

 

 

 


Ru T=700 1.12 1.39 1.51 1.09 1.16
T=1700 1.07 1.42 1.53 1.15 1.24


 

 

 

 

 

 


Sc T=700 1.12 −0.65 0.81 1.12 0.78
T=1700 1.07 0.15 1.65 1.89 1.93


 

 

 

 

 

 


Si T=700 K 1.12 1.12 0.95 1.34 1.22
T=1700 K 1.07 1.16 0.99 1.28 1.37


 

 

 

 

 

 


Ta T=700 1.12 1.56 0.92 1.21 0.95
T=1700 1.07 1.59 1.02 1.24 1.06


 

 

 

 

 

 


Tc T=700 1.12 1.38 1.57 1.10 1.16
T=1700 1.07 1.42 1.63 1.15 1.25


 

 

 

 

 

 


Ti T=700 1.12 1.43 0.61 1.28 1.02
T=1700 1.07 1.46 0.69 1.31 1.11


 

 

 

 

 

 


V T=700 1.12 1.26 1.09 1.22 1.17
T=1700 1.07 1.29 1.15 1.24 1.25


 

 

 

 

 

 


W T=700 1.12 1.45 1.50 1.13 1.09
T=1700 1.07 1.51 1.60 1.20 1.22


 

 

 

 

 

 


Y T=700 1.12 2.42 0.25 0.26 −1.28
T=1700 1.07 2.45 0.40 0.41 −0.79


 

 

 

 

 

 


Zn T=700 1.12 1.34 0.80 1.31 1.11
T=1700 1.07 1.41 0.89 1.38 1.18


 

 

 

 

 

 


Zr T=700 1.12 1.82 0.27 0.14 −0.66
T=1700 1.07 1.80 0.35 0.20 −0.60

Table 2 presents all of the thermodynamic factors entering into dilute solute diffusion for all 26Ni31X systems studied in the present work. The thermodynamic factors include the correlation factor, f2, the enthalpy of vacancy formation adjacent to the solute, ΔHf, the enthalpy of migration of the solute atom moving into an adjacent vacancy, ΔHm, the entropy of vacancy formation adjacent to a solute, ΔSf, entropy of migration of the solute atom, ΔSm, and the temperature dependence of the correlation factor, C.

Table 2.

Thermodynamic parameters at 700 K and 1700 K given for all factors entering into vacancy mediated dilute solute diffusion for the 26Ni31X systems studied in the present work. Calculated values include the correlation factor, f2, the enthalpy of vacancy formation adjacent to the solute, ΔHf, the enthalpy of migration of the solute atom moving into an adjacent vacancy, ΔHm, the entropy of vacancy formation adjacent to a solute, ΔSf, entropy of migration of the solute atom, ΔSm, and the temperature dependence of f2, C.

Solute Temp, (K) f2 ΔHf (eV) ΔHm (eV) ΔSf (kB) ΔSm (kB) C (eV)
Al T=700 K 0.0006 1.62 0.75 2.13 −0.607 0.532
T=1700 K 0.104 1.69 0.70 2.84 −1.11 0.482


 

 

 

 

 

 

 


Co T=700 0.973 1.70 1.37 1.95 −0.17 −0.004
T=1700 0.896 1.76 1.33 2.55 −0.60 −0.016


 

 

 

 

 

 

 


Cr T=700 K 0.951 1.71 1.36 1.72 0.97 −0.009
T=1700 K 0.755 1.76 1.41 2.20 1.41 −0.056


 

 

 

 

 

 

 


Cu T=700 0.030 1.62 0.96 2.17 −0.38 0.273
T=1700 0.340 1.69 0.88 2.92 −1.12 0.181
Fe T=700 0.614 1.71 1.18 1.97 −0.35 0.020
T=1700 0.725 1.79 1.12 2.69 −0.91 0.014


 

 

 

 

 

 

 


Hf T=700 0.000 1.35 0.34 1.80 −0.98 1.022
T=1700 0.005 1.43 0.27 2.54 −1.60 1.172


 

 

 

 

 

 

 


Ir T=700 1.000 1.66 1.69 1.90 −0.38 0.000
T=1700 0.995 1.72 1.64 2.50 −0.93 −0.003


 

 

 

 

 

 

 


Mn T=700 0.010 1.87 0.60 7.35 −5.87 0.345
T=1700 0.159 3.02 −0.10 18.21 −12.44 0.125


 

 

 

 

 

 

 


Mo T=700 0.970 1.65 1.27 1.75 −0.52 −0.004
T=1700 0.898 1.70 1.22 2.19 −1.04 −0.015


 

 

 

 

 

 

 


Nb T=700 0.000 1.52 0.71 1.80 −0.76 0.554
T=1700 0.123 1.58 0.66 2.40 −1.28 0.495


 

 

 

 

 

 

 


Os T=700 1.000 1.70 1.87 1.80 −0.44 0.000
T=1700 0.998 1.77 1.81 2.50 −1.00 −0.001


 

 

 

 

 

 

 


Pd T=700 0.366 1.57 1.09 2.17 −0.41 0.079
T=1700 0.619 1.66 1.02 3.02 −1.03 0.031


 

 

 

 

 

 

 


Pt T=700 0.993 1.58 1.36 2.06 −0.26 −0.002
T=1700 0.931 1.66 1.31 2.80 −0.76 −0.018


 

 

 

 

 

 

 


Re T=700 1.000 1.71 1.86 1.51 −0.51 0.000
T=1700 0.998 1.76 1.79 1.95 −1.21 −0.001


 

 

 

 

 

 

 


Rh T=700 0.996 1.64 1.40 1.99 −0.16 −0.001
T=1700 0.935 1.68 1.37 2.39 −0.43 −0.020


 

 

 

 

 

 

 


Ru T=700 1.000 1.73 1.44 2.81 −1.06 0.000
T=1700 0.973 1.98 1.25 4.17 −1.96 −0.013


 

 

 

 

 

 

 


Sc T=700 K 1.0000 1.31 0.36 8.97 −7.34 0.000
T=1700 K 1.0000 1.85 −0.18 14.09 −12.51 0.000


 

 

 

 

 

 

 


Si T=700 K 0.06 1.57 0.95 1.91 −0.16 0.169
T=1700 K 0.32 1.63 0.90 2.57 −0.61 0.162


 

 

 

 

 

 

 


Ta T=700 0.010 1.58 0.86 1.72 −0.91 0.383
T=1700 0.366 1.63 0.80 2.19 −1.51 0.234


 

 

 

 

 

 

 


Tc T=700 1.000 1.69 1.55 1.80 −0.35 0.000
T=1700 0.985 1.75 1.49 2.39 −0.94 −0.007
Ti T=700 K 0.0000 1.60 0.57 1.94 −0.70 0.760
T=1700 K 0.0410 1.68 0.50 2.68 −1.32 0.689


 

 

 

 

 

 

 


V T=700 K 0.2771 1.60 1.06 1.84 −0.47 0.108
T=1700 K 0.6244 1.75 1.01 2.35 −1.00 0.058


 

 

 

 

 

 

 


W T=700 0.999 1.68 1.45 1.68 −0.84 0.000
T=1700 0.975 1.72 1.38 2.07 −1.50 −0.009


 

 

 

 

 

 

 


Y T=700 0.489 0.42 0.17 1.19 −1.41 0.001
T=1700 0.495 0.48 0.10 1.71 −2.05 0.001


 

 

 

 

 

 

 


Zn T=700 0.001 1.59 0.76 2.23 −0.65 0.533
T=1700 0.099 1.69 0.68 3.18 −1.42 0.469


 

 

 

 

 

 

 


Zr T=700 0.884 1.19 0.21 1.42 −0.83 −0.013
T=1700 0.724 1.22 0.18 1.66 −1.08 −0.029

2.3. Dilute solute diffusivity plots

Additional plots of diffusivity as a function of 1000/T for the solute systems that were not presented in the main article [1] and have known experimental data are presented in this section. It should be noted that all of the plots are produced from data calculated directly from first-principles, and do not represent Arrhenius fits of data. The following plots in Fig. 2, Fig. 3, Fig. 4, Fig. 5, Fig. 6, Fig. 7, Fig. 8, Fig. 9, Fig. 10, Fig. 11, Fig. 12, Fig. 13, Fig. 14, Fig. 15 are shown for 2nd row solute elements: Si, for 3d transition row solute elements: Ti, V, Cr, Mn, Fe, and Co, for 4d transition row solute elements: Zr and Mo, and for 5d transition row solute elements: Hf, Ta, W, Re, and Pt. The corresponding plots for the following solutes are shown in the main article [1]: Al, Cu, Nb, and W.

Fig. 2.

Fig. 2

Solute diffusion coefficient Si in Ni calculated in the present work (solid line) compared to poly-crystal data of Allison et al. [8] and Swalin et al. [9].

Fig. 3.

Fig. 3

Solute diffusion coefficient Ti in Ni calculated in the present work (solid line) compared to poly-crystal data of Bergner [10] and Swalin et al. [11].

Fig. 4.

Fig. 4

Solute diffusion coefficient V in Ni calculated in the present work (solid line) compared to poly-crystal data of Murarka et al. [12].

Fig. 5.

Fig. 5

Solute diffusion coefficient Cr in Ni calculated in the present work (solid line) compared to poly-crystal data of Monma et al. [13]. Růžičková et al. [14], Tutunnik et al. [15], and Glinchuk et al. [16].

Fig. 6.

Fig. 6

Solute diffusion coefficient Mn in Ni calculated in the present work (solid line) compared to poly-crystal data of Swalin et al. [11].

Fig. 7.

Fig. 7

Solute diffusion coefficient Fe in Ni calculated in the present work (solid line) compared to single-crystal data of Bakker et al. [17], and to poly-crystal data of Guiarldenq [18] and Badia et al. [19].

Fig. 8.

Fig. 8

Solute diffusion coefficient Co in Ni calculated in the present work (solid line) compared to single-crystal data of Vladimirov et al. [20] and to poly-crystal data of Badia et al. [19], Hirano et al. [21], Hassner et al. [22]. Divya et al. [23], and McCoy et al. [24].

Fig. 9.

Fig. 9

Solute diffusion coefficient Zr in Ni calculated in the present work (solid line) compared to poly-crystal data of Allison et al. [8] and Bergner [10].

Fig. 10.

Fig. 10

Solute diffusion coefficient Mo in Ni calculated in the present work (solid line) compared to poly-crystal data of Swalin et al. [9].

Fig. 11.

Fig. 11

Solute diffusion coefficient Hf in Ni calculated in the present work (solid line) compared to the poly-crystal data of Bergner [10].

Fig. 12.

Fig. 12

Solute diffusion coefficient Ta in Ni calculated in the present work (solid line) compared to the poly-crystal data of Bergner [10].

Fig. 13.

Fig. 13

Solute diffusion coefficient W in Ni calculated in the present work (solid line) compared to the single-crystal data of Vladimirov et al. [20], and the poly-crystal data of Bergner [10], Swalin et al. [11], and Monma [25].

Fig. 14.

Fig. 14

Solute diffusion coefficient Re in Ni calculated in the present work (solid line) compared to poly-crystalline diffusion couple experimental data by [26].

Fig. 15.

Fig. 15

Solute diffusion coefficient Pt in Ni calculated in the present work (solid line) compared to poly-crystalline diffusion couple experimental data by [27].

2.3.1. 2nd row solute elements

see Fig. 2.

2.3.2. 3d transition row solute elements

see Fig. 3.

2.3.3. 4d transition row solute elements

see Fig. 4.

2.3.4. 5d transition row solute elements

see Fig. 5.

2.4. Relative creep rate ratio data table

The diffusivity data from the present work is combined with the elastic constant calculations from Shang et al. [28] and the stacking fault energy calculations from Shang et al. [29] on the same 26Ni31X systems to calculate a relative creep rate ratio. The relative creep rate ratio shows the effect of each solute element on the creep rate of the dilute Ni-X alloy compared to the creep rate of pure Ni. The data used for the relative creep rate ratio plots in the main article [1] is presented in Table 3.

Table 3.

Elastic [28] and stacking fault energy [29] data used for calculation of the relative creep rate ratio in the main article [1].

Temp, (K) Solute D, m2/sec b, G, GPa γSFE, mJ/m2 E, GPa
300 K Al 3.08E-54 1.447 86.31 109.15 223.38
Co 1.14E-57 1.444 92.26 113.56 237.34
Cr 3.50E-57 1.445 89.91 100.11 232.05
Cu 1.88E-53 1.446 87.56 115.12 226.21
Fe 3.07E-55 1.445 90.52 109.86 232.99
Hf 1.39E-51 1.456 81.67 68.87 212.19
Ir 1.58E-62 1.451 88.65 102.77 229.09
Mn 1.77E-52 1.447 88.43 110.86 228.01
Mo 1.95E-55 1.450 85.52 62.08 223.23
Nb 2.77E-52 1.453 82.80 64.31 215.79
Ni 2.31E-53 1.444 92.22 128.20 236.66
Os 4.25E-66 1.450 91.74 86.31 236.58
Pd 4.57E-52 1.451 87.98 118.12 226.82
Pt 2.07E-55 1.452 88.96 121.06 229.68
Re 1.90E-66 1.449 88.00 66.57 228.02
Rh 5.49E-57 1.450 86.10 107.33 223.08
Ru 2.53E-59 1.449 91.78 91.12 236.18
Sc 2.88E-34 1.454 82.39 74.82 213.94
Si 4.62E-51 1.444 85.79 112.50 222.85
Ta 9.51E-53 1.453 83.10 71.44 216.82
Tc 1.06E-60 1.449 89.72 71.08 231.67
Ti 3.63E-54 1.449 86.42 83.08 223.79
V 2.08E-54 1.446 87.41 81.33 226.56
W 4.16E-59 1.450 85.93 66.54 223.45
Y 3.32E-17 1.463 73.79 48.26 193.31
Zn 4.81E-54 1.447 82.89 111.69 215.57
Zr 3.85E-30 1.458 79.99 60.31 208.69


 

 

 

 

 

 


600 K Al 1.38E-29 1.447 82.19 105.85 212.01
Co 1.33E-31 1.444 87.82 109.79 225.37
Cr 3.32E-31 1.445 84.98 99.05 218.59
Cu 3.31E-29 1.446 83.60 111.26 215.20
Fe 1.96E-30 1.445 86.80 106.45 222.45
Hf 1.41E-28 1.456 78.26 66.57 202.18
Ir 4.50E-34 1.451 83.34 99.59 214.86
Mn 5.01E-29 1.447 84.36 107.40 216.68
Mo 1.37E-30 1.450 80.99 60.20 211.41
Nb 6.70E-29 1.453 79.30 62.37 205.87
Ni 2.41E-29 1.444 87.91 124.22 224.72
Os 6.77E-36 1.450 87.40 84.31 224.67
Pd 1.07E-28 1.451 84.22 114.17 216.33
Pt 1.84E-30 1.452 85.39 117.22 219.57
Re 3.94E-36 1.449 83.80 64.89 216.37
Rh 3.07E-31 1.450 83.93 103.97 216.39
Ru 1.94E-32 1.449 87.03 88.40 223.30
Sc 6.37E-20 1.454 78.82 71.85 204.08
Si 2.62E-28 1.444 81.42 109.21 210.97
Ta 3.99E-29 1.453 79.53 69.48 206.83
Tc 3.57E-33 1.449 86.31 69.43 222.09
Ti 1.21E-29 1.449 82.19 80.49 212.04
V 7.98E-30 1.446 83.32 78.74 215.37
W 1.71E-32 1.450 81.49 64.59 211.30
Y 6.40E-12 1.463 70.09 45.49 183.50
Zn 1.83E-29 1.447 79.26 107.92 205.41
Zr 4.14E-18 1.458 76.41 58.12 198.75


 

 

 

 

 

 


900 K Al 2.67E-21 1.460 78.09 102.02 200.54
Co 7.79E-23 1.458 83.25 105.42 212.92
Cr 1.89E-22 1.460 80.55 97.81 206.30
Cu 4.51E-21 1.459 79.40 106.78 203.60
Fe 4.33E-22 1.459 82.79 102.51 211.17
Hf 8.77E-21 1.469 74.45 63.95 191.38
Ir 1.66E-24 1.464 78.43 95.93 201.56
Mn 5.74E-21 1.460 79.93 103.39 204.32
Mo 3.07E-22 1.463 76.52 58.03 199.39
Nb 6.79E-21 1.467 75.43 60.16 194.99
Ni 3.22E-21 1.458 83.41 119.62 212.43
Os 9.62E-26 1.463 82.95 82.03 212.40
Pd 7.51E-21 1.465 79.97 109.58 204.59
Pt 4.64E-22 1.466 81.46 112.80 208.51
Re 5.92E-26 1.462 79.64 62.96 204.68
Rh 1.42E-22 1.463 81.32 100.08 208.54
Ru 2.22E-23 1.463 81.84 85.28 209.27
Sc 4.65E-15 1.468 74.85 68.41 193.15
Si 1.26E-20 1.457 76.93 105.37 198.72
Ta 4.89E-21 1.466 75.68 67.26 196.07
Tc 6.45E-24 1.462 82.58 67.54 211.61
Ti 2.79E-21 1.462 77.66 77.53 199.55
V 1.24E-21 1.459 78.93 75.74 203.30
W 1.49E-23 1.464 76.80 62.35 198.49
Y 4.36E-10 1.478 66.07 42.28 172.76
Zn 3.26E-21 1.461 75.37 103.55 194.51
Zr 4.78E-14 1.471 72.51 55.63 187.98
1200 K Al 4.01E-17 1.468 74.05 97.66 189.12
Co 2.05E-18 1.466 78.64 100.44 200.17
Cr 5.03E-18 1.470 76.36 96.40 194.54
Cu 5.27E-17 1.468 75.12 101.67 191.82
Fe 7.06E-18 1.467 78.58 98.03 199.37
Hf 9.46E-17 1.477 70.28 61.02 179.94
Ir 1.10E-19 1.471 74.09 91.80 189.59
Mn 7.72E-17 1.468 75.17 98.83 191.02
Mo 4.93E-18 1.471 72.16 55.60 187.20
Nb 8.84E-17 1.474 71.15 57.67 183.10
Ni 4.34E-17 1.466 78.73 114.40 199.93
Os 1.26E-20 1.470 78.41 79.44 199.88
Pd 6.43E-17 1.473 75.37 104.38 191.91
Pt 8.07E-18 1.474 77.26 107.78 196.80
Re 7.78E-21 1.470 75.64 60.79 193.23
Rh 3.33E-18 1.471 78.20 95.68 199.36
Ru 8.41E-19 1.470 76.45 81.76 194.62
Sc 1.36E-12 1.476 70.61 64.51 181.48
Si 9.78E-17 1.466 72.58 100.97 186.70
Ta 5.90E-17 1.474 71.48 64.76 184.44
Tc 2.99E-19 1.470 78.58 65.42 200.36
Ti 4.45E-17 1.470 73.13 74.19 187.08
V 1.56E-17 1.467 74.28 72.34 190.53
W 4.69E-19 1.471 71.97 59.83 185.29
Y 3.88E-09 1.486 61.73 38.61 161.06
Zn 4.66E-17 1.469 71.46 98.56 183.42
Zr 5.46E-12 1.479 68.31 52.84 176.45

Acknowledgements

This work was funded partially by the Office of Naval Research (ONR) under contract no. N0014-07-1-0638 and no. N00014-17-1-2567 and partially by the National Natural Science Foundation of China with Grant No. 51429101. First-principles calculations were carried out partially on the LION clusters supported by the Materials Simulation Center and the Research Computing and Cyber infrastructure unit at the Pennsylvania State University, partially on the resources of NERSC supported by the Office of Science of the U.S. DOE under Contract No. DE-AC02-05CH11231, and partially on the resources of XSEDE supported by National Science Foundation with Grant ACI-1053575. 51429101.

Footnotes

Transparency document

Supplementary data associated with this article can be found in the online version at 10.1016/j.dib.2018.08.144.

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Supporting information

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References

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