Yinqiao Liu

发表

Spatial density neural network force fields with first-principles level accuracy and application to thermal transport

A. Rodríguez, Yinqiao Liu, Ming Hu, 2020 .

ELECTRONIC CHARGE DENSITY USING 3D DEEP CONVOLUTIONAL NEURAL NETWORKS

Yong Zhao, Ming Hu, Jianjun Hu, 2020 .

New refractory MAB phases and their 2D derivatives: insight into the effects of valence electron concentration and chemical composition

Jijun Zhao, Yinqiao Liu, Xue Jiang, 2020, RSC advances.

New metallic carbon: Three dimensionally carbon allotropes comprising ultrathin diamond nanostripes

Jijun Zhao, Yinqiao Liu, Jie Fu, 2018 .

Effects of spin-phonon coupling on two-dimensional ferromagnetic semiconductors: a case study of iron and ruthenium trihalides.

Y. Liu, Jijun Zhao, Yinqiao Liu, 2021, Nanoscale.

Fluoride‐Based Anion Doping: A New Strategy for Improving the Performance of Protonic Ceramic Conductors of the Form BaZrO 3

Yinqiao Liu, Ming Hu, Jun Gao, 2020, ChemElectroChem.

Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks pdf

Jianjun Hu, Yong Zhao, Kunpeng Yuan, 2020, The Journal of Physical Chemistry C.

Electronic charge density as a fast approach for predicting Li-ion migration pathways in superionic conductors with first-principles level precision

Ming Hu, Jijun Zhao, Yinqiao Liu, 2021 .

Optimizing the thermoelectric transport properties of BiCuSeO via doping with the rare-earth variable-valence element Yb

G. Fan, Huijun Kang, Tongmin Wang, 2018 .

A valence balancing rule for the design of bimetallic phosphides targeting high thermoelectric performance.

Jijun Zhao, Yinqiao Liu, Xue Jiang, 2021, Physical chemistry chemical physics : PCCP.

A new family of multifunctional silicon clathrates: Optoelectronic and thermoelectric applications

Jijun Zhao, Yinqiao Liu, Si Zhou, 2017 .