@article{27577,
  keywords = {Extrinsic solute site preference, Intermetallic compound, Intrinsic point defect, Python},
  author = {Hong Ding and Bharat Medasani and Wei Chen and Kristin A Persson and Maciej Haranczyk and Mark D Asta},
  title = {PyDII: A python framework for computing equilibrium intrinsic point defect concentrations and extrinsic solute site preferences in intermetallic compounds},
  abstract = {<p>Point defects play an important role in determining the structural stability and mechanical behavior of intermetallic compounds. To help quantitatively understand the point defect properties in these compounds, we developed PyDII, a Python program that performs thermodynamic calculations of equilibrium intrinsic point defect concentrations and extrinsic solute site preferences in intermetallics. The algorithm implemented in PyDII is built upon a dilute-solution thermodynamic formalism with a set of defect excitation energies calculated from first-principles density-functional theory methods. The analysis module in PyDII enables automated calculations of equilibrium intrinsic antisite and vacancy concentrations as a function of composition and temperature (over ranges where the dilute solution formalism is accurate) and the point defect concentration changes arising from addition of an extrinsic substitutional solute species. To demonstrate the applications of PyDII, we provide examples for intrinsic point defect concentrations in NiAl and Al<sub>3</sub> V and site preferences for Ti, Mo and Fe solutes in NiAl.</p>},
  year = {2015},
  journal = {Computer Physics Communications},
  volume = {193},
  pages = {118-123},
  month = {03/2015},
  doi = {10.1016/j.cpc.2015.03.015},
  language = {eng},
}