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20182024
most citedOptimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning

2 citations · 3 across the 5 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 2 cited

Optimization of noncollinear magnetic ordering temperature in Y-type hexaferrite by machine learning

Yonghong Li, Jing Zhang, Linfeng Jiang +6

Searching the optimal doping compositions of the Y-type hexaferrite Ba2Mg2Fe12O22 remains a long-standing challenge for enhanced non-collinear magnetic transition temperature (TNC)…

cond-mat.mtrl-sci2020

Oxygen vacancies in SrTiO thin films at finite temperatures: A first-principles study

Zizhen Zhou, Dewei Chu, Claudio Cazorla

Epitaxially grown SrTiO (STO) thin films are material enablers for a number of critical energy-conversion and information-storage technologies like electrochemical electrode…

cond-mat.mtrl-sci2019

Designing graphene/hexagonal boron nitride superlattice monolayer with high thermoelectric performance

Zizhen Zhou, Huijun Liu, Dengdong Fan +1

We design a hybrid graphene/hexagonal boron nitride superlattice monolayer and investigate its thermoelectric properties using density functional theory and Boltzmann transport equ…

cond-mat.mtrl-sci2018

High thermoelectric performance originating from the grooved bands in the ZrSe3 monolayer

Z. Z. Zhou, H. J. Liu, D. D. Fan +2

Low-dimensional layered materials have attracted tremendous attentions due to their wide range of physical and chemical properties and potential applications in electronic devices.…

cond-mat.mtrl-sci2018★ 1 cited

Screening potential topological insulators in half-Heusler compounds via compressed-sensing

Jianghui Liu, Guohua Cao, Zizhen Zhou +1

Ternary half-Heusler compounds with widely tunable electronic structures, present a new platform to discover topological insulators. Due to time-consuming computations and synthesi…