Effects of local geometry distortion at the Al/Al2Cu interfaces on solute segregation
Literature Information
Interfaces in materials play a critical role in a wide range of functional properties. The heterophase semicoherent interface is one of the most difficult systems in density functional theory (DFT) simulations. We have studied the segregation energies of different solutes (Si, Mg and Zn) at the Al/Al2Cu (semi)coherent interfaces based on the linear combination of atomic orbitals (LCAO). Our DFT-LCAO computed segregation energies of solutes at the Al/Al2Cu coherent interface are in good agreement with the DFT-PAW calculations. However, at the Al/Al2Cu semicoherent interface, results from the LCAO calculations are significantly different to those obtained using the PAW method. The local geometry distortion in the semicoherent interface region significantly influences the solute energetics. Considering the distortion, the segregation energies of solutes well explain the trend of the experimentally measured solute concentrations, such as the higher solute Si concentration at the semicoherent interface than that at the coherent interface, and the similar Si concentration across the semicoherent interface. The lattice mismatch effect on the solute segregation energy is investigated as well. At low lattice mismatch (0.25%), the segregation energies of Si and Mg are almost compatible. Our results shed light on improving the theoretical predictions for interfaces to determine accurate functional properties.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.














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