Density functional theory description of random Cu-Au alloys

Abstract
Density functional alloy theory is used to accurately describe the three core effects controlling the thermodynamics of random Cu-Au alloys. These three core effects are exchange correlation (XC), local lattice relaxations (LLRs), and short-range order (SRO). Within the real-space grid-based projector augmented-wave (GPAW) method based on density functional theory (DFT), we adopt the quasinonuniform XC approximation (QNA), and take into account the LLR and the SRO effects. Our approach allows us to study the importance of all three core effects in a unified way within one DFT code. The results demonstrate the importance of the LLR term and show that going from the classical gradient level approximations to QNA leads to accurate formation energies at various degrees of ordering. The order-disorder transition temperatures for the 25%, 50%, and 75% alloys reach quantitative agreement with the experimental values only when also the SRO effects are considered. © 2019 American Physical Society.
Main Authors
Format
Articles Research article
Published
2019
Series
Subjects
Publication in research information system
Publisher
American Physical Society
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-201905292861Use this for linking
Review status
Peer reviewed
ISSN
2469-9950
DOI
https://doi.org/10.1103/PhysRevB.99.064202
Language
English
Published in
Physical Review B
Citation
  • Tian, L.-Y., Levämäki, H., Kuisma, M., Kokko, K., Nagy, Á., & Vitos, L. (2019). Density functional theory description of random Cu-Au alloys. Physical Review B, 99(6), Article 064202. https://doi.org/10.1103/PhysRevB.99.064202
License
In CopyrightOpen Access
Funder(s)
Research Council of Finland
Funding program(s)
Tutkijatohtori, SA
Postdoctoral Researcher, AoF
Research Council of Finland
Additional information about funding
The authors thank the Swedish Research Council, the Swedish Foundation for Strategic Research, the Swedish Foundation for International Cooperation in Research and Higher Education, the Swedish Energy Agency, the Hungarian Scientific Research Fund (OTKA) Grants No. K128229 and No. K123988, and Academy of Finland (Grant No. 295602) for financial support. The Finnish IT Center for Science (CSC), the Finnish Grid and Cloud Infrastructure (FGCI) project, and the Swedish National Infrastructure for Computing (SNIC) at the High Performance Computing Center North (HPC2N) are acknowledged for the computational resources.
Copyright© 2019 American Physical Society.

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