Elemental vacancy diffusion database from high-throughput first-principles calculations for fcc and hcp structures

This work demonstrates how databases of diffusion-related properties can be developed from high-throughput ab initio calculations. The formation and migration energies for vacancies of all adequately stable pure elements in both the face-centered cubic (fcc) and hexagonal close packing (hcp) crystal structures were determined using ab initio calculations. For hcp migration, both the basal plane and z-direction nearest-neighbor vacancy hops were considered. Energy barriers were successfully calculated for 49 elements in the fcc structure and 44 elements in the hcp structure. These data were plotted against various elemental properties in order to discover significant correlations. The calculated data show smooth and continuous trends when plotted against Mendeleev numbers. The vacancy formation energies were plotted against cohesive energies to produce linear trends with regressed slopes of 0.317 and 0.323 for the fcc and hcp structures respectively. This result shows the expected increase in vacancy formation energy with stronger bonding. The slope of approximately 0.3, being well below that predicted by a simple fixed bond strength model, is consistent with a reduction in the vacancy formation energy due to many-body effects and relaxation. Vacancy migration barriers are found to increase nearly linearly with increasing stiffness, consistent with the local expansion required to migrate an atom. A simple semi-empirical expression is created to predict the vacancy migration energy from the lattice constant and bulk modulus for fcc systems, yielding estimates with errors of approximately 30%.

[1]  Marco Buongiorno Nardelli,et al.  AFLOWLIB.ORG: A distributed materials properties repository from high-throughput ab initio calculations , 2012 .

[2]  Peter E. Bl Projector-Augmented Wave Method: An introduction , 2003 .

[3]  Karen Willcox,et al.  Kinetics and kinematics for translational motions in microgravity during parabolic flight. , 2009, Aviation, space, and environmental medicine.

[4]  A. Rabinovitch,et al.  Self-diffusion calculation for fcc metals , 1977 .

[5]  J. Donohue The structures of the elements , 1974 .

[6]  Yi Wang,et al.  First-principles calculation of self-diffusion coefficients. , 2008, Physical review letters.

[7]  Karsten W. Jacobsen,et al.  An object-oriented scripting interface to a legacy electronic structure code , 2002, Comput. Sci. Eng..

[8]  J. Kollár,et al.  The surface energy of metals , 1998 .

[9]  Zi-kui Liu,et al.  First-principles study of self-diffusion in hcp Mg and Zn , 2010 .

[10]  Kth,et al.  Finite-size scaling as a cure for supercell approximation errors in calculations of neutral native defects in InP , 2004, cond-mat/0512306.

[11]  Paxton,et al.  High-precision sampling for Brillouin-zone integration in metals. , 1989, Physical review. B, Condensed matter.

[12]  G. Vineyard Frequency factors and isotope effects in solid state rate processes , 1957 .

[13]  T. Mattsson,et al.  Calculating the vacancy formation energy in metals: Pt, Pd, and Mo , 2002 .

[14]  C. J. Smithells,et al.  Metals reference book , 1949 .

[15]  Stefano Curtarolo,et al.  Accuracy of ab initio methods in predicting the crystal structures of metals: A review of 80 binary alloys , 2005, cond-mat/0502465.

[16]  A S Bondarenko,et al.  Alloys of platinum and early transition metals as oxygen reduction electrocatalysts. , 2009, Nature chemistry.

[17]  M. Kramer,et al.  Highly optimized embedded-atom-method potentials for fourteen fcc metals , 2011 .

[18]  Stefano Curtarolo,et al.  High-throughput and data mining with ab initio methods , 2004 .

[19]  Anubhav Jain,et al.  A Computational Investigation of Li9M3(P2O7)3(PO4)2 (M = V, Mo) as Cathodes for Li Ion Batteries , 2012 .

[20]  Dane Morgan,et al.  Ab initio energetics of charge compensating point defects: A case study on MgO , 2013 .

[21]  Burke,et al.  Generalized Gradient Approximation Made Simple. , 1996, Physical review letters.

[22]  C. P. Flynn,et al.  Point Defects and Diffusion , 1973 .

[23]  D. G. Pettifor,et al.  A chemical scale for crystal-structure maps , 1984 .

[24]  G. Kresse,et al.  From ultrasoft pseudopotentials to the projector augmented-wave method , 1999 .

[25]  C. P. Flynn Atomic Migration in Monatomic Crystals , 1968 .

[26]  Anubhav Jain,et al.  Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis , 2012 .

[27]  H. Monkhorst,et al.  SPECIAL POINTS FOR BRILLOUIN-ZONE INTEGRATIONS , 1976 .

[28]  Hafner,et al.  Ab initio molecular-dynamics simulation of the liquid-metal-amorphous-semiconductor transition in germanium. , 1994, Physical review. B, Condensed matter.

[29]  D. Morgan,et al.  Ab-initio based modeling of diffusion in dilute bcc Fe–Ni and Fe–Cr alloys and implications for radiation induced segregation , 2011 .

[30]  K. Burke,et al.  Generalized Gradient Approximation Made Simple [Phys. Rev. Lett. 77, 3865 (1996)] , 1997 .

[31]  Ruitao Lv,et al.  The role of defects and doping in 2D graphene sheets and 1D nanoribbons , 2012, Reports on progress in physics. Physical Society.

[32]  Alex Zunger,et al.  Accurate prediction of defect properties in density functional supercell calculations , 2009 .

[33]  F. Birch Finite Elastic Strain of Cubic Crystals , 1947 .

[34]  G. Kresse,et al.  Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set , 1996 .

[35]  Andreas Höglund,et al.  Density functional theory calculations of defect energies using supercells , 2009 .

[36]  Robert E. Reed-Hill,et al.  Physical Metallurgy Principles , 1972 .

[37]  Paul Shewmon,et al.  Diffusion in Solids , 2016 .

[38]  P. Ehrhart,et al.  Properties and interactions of atomic defects in metals and alloys , 1992 .

[39]  A. Miedema The Formation Enthalpy of Monovacancies ın Metals and Intermetallic Compounds , 1979 .

[40]  Shun-Li Shang,et al.  Anomalous energy pathway of vacancy migration and self-diffusion in hcp Ti , 2011 .

[41]  J. Neugebauer,et al.  Vacancy formation energies in fcc metals: Influence of exchange-correlation functionals and correction schemes , 2012 .

[42]  Kresse,et al.  Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. , 1996, Physical review. B, Condensed matter.

[43]  Kth,et al.  Managing the supercell approximation for charged defects in semiconductors: finite size scaling, charge correction factors, the bandgap problem and the ab initio dielectric constant , 2005, cond-mat/0512311.

[44]  G. Henkelman,et al.  A climbing image nudged elastic band method for finding saddle points and minimum energy paths , 2000 .

[45]  C. Castleton,et al.  Managing the supercell approximation for charged defects in semiconductors: Finite-size scaling, charge correction factors, the band-gap problem, and the ab initio dielectric constant , 2006 .