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Zhang Ping

Publications -  4
Citations -  133

Zhang Ping is an academic researcher. The author has contributed to research in topics: Primitive cell & Lateral strain. The author has an hindex of 1, co-authored 4 publications receiving 98 citations.

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Tunable spin states in the two-dimensional magnet CrI3.

TL;DR: This work builds for the first time a substantial magnetic phase diagram under lateral strain and charge doping, the two factors that are easily modulated in single-layer CrI3via substrate and gating controls, and finds that the phase transition under compressive strain is insensitive to Charge doping, whereas the phase Transition under tensile strain is modulated by electron doping significantly.
Patent

Analytical calculation method and device for phonon spectrum of primitive cell of alloy material

TL;DR: In this article, an analytical calculation method and device for the phonon spectrum of a primitive cell of an alloy material is presented, which is based on a supercell of the alloy material.
Patent

Method and device for obtaining primitive cell electronic structure of alloy material

TL;DR: In this paper, a method and a device for obtaining a primitive cell electronic structure of an alloy material was proposed, which comprises the following steps: acquiring physical parameters of supercells of the alloy material; according to the physical parameters, constructing a Wannier function of the supercell; modifying the WANNIER function, and recombining the electron wave function.
Patent

Method and device for searching for magnetic structure of material based on genetic algorithm

TL;DR: In this article, a method and a device for searching for the magnetic structure of a material based on a genetic algorithm is presented, which comprises the steps of: acquiring physical parameters of to-be-detected material; determining the expanded supercell; deciding the iterative times N of the genetic algorithm, the individual number n and the optimal individual number m of each generation; taking randomly generated n individuals as the initial population, determining the system energy and the magnetic order structure of each individual in the population, selecting m optimal magnetically ordered individuals with the lowest system energy, randomly