2023
DOI: 10.1016/j.jmst.2022.05.056
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Identifying the crystal structure of T1 precipitates in Al-Li-Cu alloys by ab initio calculations and HAADF-STEM imaging

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Cited by 31 publications
(7 citation statements)
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“…As is commonly reported, the T 1 phase is hexagonal with a space group of P6/mmm (lattice parameters of a = 0.496 nm and c = 0.935 nm) and a stoichiometry of Al 2 CuLi [13] . We show, however, a novel stable structure with the stoichiometry of Al 6 Cu 4 Li 3 by ab initio calculations and HAADF‐STEM imaging [10] . To control alloy microstructures and ultimately the mechanical properties, it is vital to understand the nucleation and growth of T 1 during precipitation.…”
Section: Introductionsupporting
confidence: 75%
See 1 more Smart Citation
“…As is commonly reported, the T 1 phase is hexagonal with a space group of P6/mmm (lattice parameters of a = 0.496 nm and c = 0.935 nm) and a stoichiometry of Al 2 CuLi [13] . We show, however, a novel stable structure with the stoichiometry of Al 6 Cu 4 Li 3 by ab initio calculations and HAADF‐STEM imaging [10] . To control alloy microstructures and ultimately the mechanical properties, it is vital to understand the nucleation and growth of T 1 during precipitation.…”
Section: Introductionsupporting
confidence: 75%
“…As one of the major strengthening mechanisms in Al‐Li alloys, precipitation strengthening is of great interests to many researchers [8–12] . Among them, the nano T 1 precipitate with high length/diameter ratios is the most important and has been well‐studied in the third and fourth‐generation Al‐Li alloys.…”
Section: Introductionmentioning
confidence: 99%
“…It is clearly shown that our calculations using PBE have a better match with the results of previous experiments compared to those using LDA or PW91. Although the calculation overestimates (underestimates) the a 0 (B 0 ) of Al 3 Li by 0.4% (3%) and Al 3 Sc by 0.05% (3%), the accuracy is within the reliability range of computational models [76,[78][79][80]83,84].…”
Section: The Bulk Propertiesmentioning
confidence: 70%
“…models [76,[78][79][80]83,84]. Before we discuss the optimal doping position of Er in off-stoichiometric Al3X, it is necessary to have a good understanding of the nature of point defects in Al3X.…”
Section: The Bulk Propertiesmentioning
confidence: 99%
“…Besides experimental studies on coatings and alloying to upgrade the corrosion resistance, theoretical studies of the corrosion behavior of Mg alloys are essential for more accurate and efficient design of corrosion resistant alloys [24,25] . Recently, Integrated Computational Materials Engineering has become a modern systems‐based approach for designing materials that meet specific performance by combining computational material models across multiple scales [26,27] . Many properties of alloys can be easily predicted using tools such as density functional theory (DFT) [28–30] .…”
Section: Introductionmentioning
confidence: 99%