2017
DOI: 10.1103/physrevmaterials.1.023602
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Σ3(111)grain boundary of body-centered cubic Ti-Mo and Ti-V alloys: First-principles and model calculations

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Cited by 3 publications
(2 citation statements)
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“…For example, empirical potentials and energy minimization routines have been used to describe interactions between and among atoms or ions and obtain ground‐state structures and chemistries of a prototypical boundaries . In recent years, ground‐state grain boundaries have also been obtained using first‐principles simulations based on quantum mechanics for relatively small unit cells . Simulation can also be employed to characterize the thermodynamic state of grain boundaries and to interrogate the thermomechanical properties associated with the presence of these internal interfaces .…”
Section: Methods For Grain Boundary Quantificationmentioning
confidence: 99%
“…For example, empirical potentials and energy minimization routines have been used to describe interactions between and among atoms or ions and obtain ground‐state structures and chemistries of a prototypical boundaries . In recent years, ground‐state grain boundaries have also been obtained using first‐principles simulations based on quantum mechanics for relatively small unit cells . Simulation can also be employed to characterize the thermodynamic state of grain boundaries and to interrogate the thermomechanical properties associated with the presence of these internal interfaces .…”
Section: Methods For Grain Boundary Quantificationmentioning
confidence: 99%
“…Several DFT studies have investigated GB segregation in metals, e.g., in Ni [ 31 ], Ti [ 32 ], and Fe [ 33 ]. Other studies have focused on studying GB energies in alloys, e.g., in NiTi [ 34 ], Ti-Mo and Ti-V alloys [ 35 ], and in the ternary Ni 2 MnGa [ 36 ], and Ni-Al-Co systems [ 37 ]. Some studies have also investigated GB segregation in alloys, e.g., in Cu-Ag [ 38 ], various binary V alloys [ 39 ], and in the ternary Mg-Zn-Y [ 40 ] and FeCrNi [ 41 ] alloys.…”
Section: Introductionmentioning
confidence: 99%