TY - JOUR
T1 - Grain boundary properties of elemental metals
JF - Acta Materialia
Y1 - 2019/12//
SP - 40
EP - 49
A1 - Hui Zheng
A1 - Xiang-Guo Li
A1 - Richard Tran
A1 - Chi Chen
A1 - Matthew Horton
A1 - Donald Winston
A1 - Kristin A. Persson
A1 - Shyue Ping Ong
AB - 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 7 [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
VL - 186
JO - Acta Materialia
ER -