Grain boundary properties of elemental metals
Grain boundary properties of elemental metals
复制标题
元素金属的晶界性质
DOI:
10.1016/j.actamat.2019.12.030
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发表时间:
2019-07
期刊:
影响因子:
9.4
通讯作者:
Huijin Zheng;Xiang-Guo Li;Richard Tran;Chi Chen;M. Horton;Donny Winston;K. Persson;S. Ong
中科院分区:
文献类型:
--
作者:
Huijin Zheng;Xiang-Guo Li;Richard Tran;Chi Chen;M. Horton;Donny Winston;K. Persson;S. Ong
The structure and energy of grain boundaries (GBs) are essential for predicting the properties of polycrystalline materials. In this work, we use high-throughput density functional theory calculations workflow to construct the Grain Boundary Database (GBDB), the largest database of DFT-computed grain boundary properties to date. The database currently encompasses 327 GBs of 58 elemental metals, including 10 common twist or symmetric tilt GBs for body-centered cubic (bcc) and face-centered cubic (fcc) systems and the Σ7 [0001] twist GB for hexagonal close-packed (hcp) systems. In particular, we demonstrate a novel scaled-structural template approach for HT GB calculations, which reduces the computational cost of converging GB structures by a factor of ~ 3–6. The grain boundary energies and work of separation are rigorously validated against previous experimental and computational data. Using this large GB dataset, we develop an improved predictive model for the GB energy of different elements based on the cohesive energy and shear modulus. The open GBDB represents a significant step forward in the availability of first principles GB properties, which we believe would help guide the future design of polycrystalline materials.