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Kuan-Rong Hao

Showing results (1-10 of 10) with videos related to

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Nanoscale|July 10, 2023
Giant magnetic anisotropy of adatoms on the graphane surfaceKuan-Rong Hao, Yang Song, Lizhi Zhang
Physical Chemistry Chemical Physics : PCCP|December 13, 2019
Boron based layered electrode materials for metal-ion batteriesKuan-Rong Hao, Qing-Bo Yan, Gang Su
Physical Chemistry Chemical Physics : PCCP|April 6, 2018
Lithium adsorption and migration in group IV-VI compounds and GeS/graphene heterostructures: a comparative studyKuan-Rong Hao, Lincan Fang, Qing-Bo Yan, et al.
Nanoscale|March 20, 2019
Exploring T-carbon for energy applicationsGuangzhao Qin, Kuan-Rong Hao, Qing-Bo Yan, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 9, 2023
Controllable spin splitting in 2D ferroelectric few-layerShuyi Shi, Kuan-Rong Hao, Xing-Yu Ma, et al.
The Journal of Physical Chemistry Letters|October 8, 2021
Ferroelectric and Room-Temperature Ferromagnetic Semiconductors in the 2D M<sub>I</sub>M<sub>II</sub>Ge<sub>2</sub>X<sub>6</sub> Family: First-Principles and Machine Learning InvestigationsKuan-Rong Hao, Xing-Yu Ma, Zhen Zhang, et al.
Nanoscale|December 14, 2022
Unexpected spontaneous symmetry breaking and diverse ferroicity in two-dimensional mono-metal phosphorus chalcogenidesHou-Yi Lyu, Xing-Yu Ma, Kuan-Rong Hao, et al.
Nanoscale|September 17, 2021
High-efficient <i>ab initio</i> Bayesian active learning method and applications in prediction of two-dimensional functional materialsXing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao, et al.
Science Bulletin|January 19, 2023
Large family of two-dimensional ferroelectric metals discovered via machine learningXing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao, et al.
The Journal of Physical Chemistry Letters|January 19, 2021
Voting Data-Driven Regression Learning for Accelerating Discovery of Advanced Functional Materials and Applications to Two-Dimensional Ferroelectric MaterialsXing-Yu Ma, Hou-Yi Lyu, Xue-Juan Dong, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Nanoscale|July 10, 2023
Giant magnetic anisotropy of adatoms on the graphane surfaceKuan-Rong Hao, Yang Song, Lizhi Zhang
Physical Chemistry Chemical Physics : PCCP|December 13, 2019
Boron based layered electrode materials for metal-ion batteriesKuan-Rong Hao, Qing-Bo Yan, Gang Su
Physical Chemistry Chemical Physics : PCCP|April 6, 2018
Lithium adsorption and migration in group IV-VI compounds and GeS/graphene heterostructures: a comparative studyKuan-Rong Hao, Lincan Fang, Qing-Bo Yan, et al.
Nanoscale|March 20, 2019
Exploring T-carbon for energy applicationsGuangzhao Qin, Kuan-Rong Hao, Qing-Bo Yan, et al.
Journal of Physics. Condensed Matter : an Institute of Physics Journal|June 9, 2023
Controllable spin splitting in 2D ferroelectric few-layerShuyi Shi, Kuan-Rong Hao, Xing-Yu Ma, et al.
The Journal of Physical Chemistry Letters|October 8, 2021
Ferroelectric and Room-Temperature Ferromagnetic Semiconductors in the 2D M<sub>I</sub>M<sub>II</sub>Ge<sub>2</sub>X<sub>6</sub> Family: First-Principles and Machine Learning InvestigationsKuan-Rong Hao, Xing-Yu Ma, Zhen Zhang, et al.
Nanoscale|December 14, 2022
Unexpected spontaneous symmetry breaking and diverse ferroicity in two-dimensional mono-metal phosphorus chalcogenidesHou-Yi Lyu, Xing-Yu Ma, Kuan-Rong Hao, et al.
Nanoscale|September 17, 2021
High-efficient <i>ab initio</i> Bayesian active learning method and applications in prediction of two-dimensional functional materialsXing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao, et al.
Science Bulletin|January 19, 2023
Large family of two-dimensional ferroelectric metals discovered via machine learningXing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao, et al.
The Journal of Physical Chemistry Letters|January 19, 2021
Voting Data-Driven Regression Learning for Accelerating Discovery of Advanced Functional Materials and Applications to Two-Dimensional Ferroelectric MaterialsXing-Yu Ma, Hou-Yi Lyu, Xue-Juan Dong, et al.
Pageof 1