86 citations · 196 across the 9 of their papers we have counts for
9 papers
Discovery of a nonsymmorphic superconductor with spontaneous rotational symmetry breaking and nontrivial zero modes
Hui Guo, Zhixuan Li, Senhao Lv +13
Topological superconductivity has attracted great interest due to its fundamental significance for realizing Majorana quasiparticles and fault-tolerant quantum computation. Nonsymm…
Topological skyrmions in monolayer multiferroic MoPtGe2S6
Zuxin Fu, Kuanrong Hao, Min Guo +5
Two-dimensional (2D) multiferroic materials with coexisting ferroelectricity and ferromagnetism have garnered substantial attention for their intriguing physical properties and div…
Controllable spin splitting in 2D Ferroelectric few-layer ${$γ}$-GeSe
Shuyi Shi, Kuan-Rong Hao, Xing-Yu Ma +2
-GeSe is a new type of layered bulk material that was recently successfully synthesized. By means of density functional theory first-principles calculations, we systematically s…
The atlas of ferroicity in two dimensional MGeX3 family: room-temperature ferromagnetic half metals and unexpected ferroelectricity and ferroelasticity
Kuan-Rong Hao, Xing-Yu Ma, Hou-Yi Lyu +3
Two-dimensional (2D) ferromagnetic and ferroelectric materials attract unprecedented attention due to the spontaneous-symmetry-breaking induced novel properties and multifarious po…
High-Efficient ab initio Bayesian Active Learning Method and Applications in Prediction of Two-dimensional Functional Materials
Xing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao +3
Beyond the conventional trial-and-error method, machine learning offers a great opportunity to accelerate the discovery of functional materials, but still often suffers from diffic…
Voting Data-Driven Regression Learning for Discovery of Functional Materials and Applications to Two-Dimensional Ferroelectric Materials
Xing-Yu Ma, Hou-Yi Lyu, Xue-Juan Dong +4
Regression machine learning is widely applied to predict various materials. However, insufficient materials data usually leads to a poor performance. Here, we develop a new voting…
Large Family of Two-Dimensional Ferroelectric Metals Discovered via Machine Learning
Xing-Yu Ma, Hou-Yi Lyu, Kuan-Rong Hao +4
Ferroelectricity and metallicity are usually believed not to coexist because conducting electrons would screen out static internal electric fields. In 1965, Anderson and Blount pro…
Exploring T-carbon for Energy Applications
Guangzhao Qin, Kuan-Rong Hao, Qing-Bo Yan +2
Seeking for next-generation energy sources that are economic, sustainable (renewable), clean (environment-friendly), and abundant in earth is crucial when facing the challenges of…
Carboneyane: A nodal line topological carbon with sp-sp2-sp3 chemical bonds
Jing-Yang You, Xing-Yu Ma, Zhen Zhang +4
A structurally stable carbon allotrope with plentiful topological properties is predicted by means of first-principles calculations. This novel carbon allotrope possesses the simpl…