%%% README / DATABASE OF PREDICTED BCC HEAs YIELD STRENGTHS @1300K %%%
%%% Contact: Francesco Maresca, f.maresca@rug.nl ----------------- %%%
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%%% For explanation of how the data was generated, please read:
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%%% F. Maresca et al. (2021) arXiv:2008.11671
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%%% For detailed explanation of theory, please read:
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%%% F. Maresca, W.A. Curtin (2020) Acta Materialia 182, 235-249
%
To access the data,
>> load DATA_10mln_STRENGTHS.mat
from the MATLAB command line.
1. The array Data_strengthT sorts compositions from lowest to highest
T=1300K yield strength.
Each row of the array refers to one composition. The first 10 columns
indicate the elemental composition as follows:
Col. 1: Nb
Col. 2: Mo
Col. 3: Ta
Col. 4: W
Col. 5: V
Col. 6: Cr
Col. 7: Ti
Col. 8: Zr
Col. 9: Hf
Col. 10: Al
Columns 11 to 15 store output calculated with the BCC edge theory:
Col. 11: T=0K yield strength, sigma_y0 = tau_y0*TF [GPa]
Col. 12: T=0K specific yield strength, sigma_y0/rho [GPa * cm^3 / g]
Col. 13: T=0K energy barrier, DE_b [eV]
Col. 14: T=1300K yield strength, sigma_y = tau_y*TF [GPa]
Col. 15: T=1300K specific yield strength, sigma_y/rho [GPa * cm^3 / g]
Where:
tau_y0 = T=0K critical resolved shear stress;
tau_y = finite T critical resolved shear stress;
rho = alloy density;
TF = 3.067 Taylor factor for BCC.
2. The array Data_strengthweightT sorts compositions from lowest to
highest T=1300K specific strength (yield strength / alloy density).
The data stored in the columns is exactly the same as in (1).