3 papers
cond-mat.mtrl-sci2020
Structural phase transition of two-dimensional monolayer SnTe from artificial neural network
Jiale Zhang, Danni Wei, Feng Zhang +2
As machine learning becomes increasingly important in engineering and science, it is inevitable that machine learning techniques will be applied to the investigation of materials,…
cond-mat.mtrl-sci2019
Generation of low-symmetry perovskite structures for ab initio computation
N. Xie, J. Zhang, N. Zhang +2
Ion displacements are the cause of the ferroelectricity in perovskites. By properly shifting ions, ab initio computations have been extensively used to investigate properties of pe…
cond-mat.mtrl-sci2019
Charge effects in donor doped perovskite ferroelectrics
J. Liu, L. Liu, J. Zhang +5
Doping is a widely used method to tune physical properties of ferroelectric perovskites. Since doping can induce charges due to the substitution of certain elements, charge effects…