activity
20172023
most citedAtom2Vec: learning atoms for materials discovery

204 citations · 401 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2023★ 10 cited

Hybrid nodal surface and nodal line phonons in solids

Wen-Han Dong, Jinbo Pan, Jia-Tao Sun +1

Phonons have provided an ideal platform for a variety of intriguing physical states, such as non-Abelian braiding and the Haldane model. It is promising that phonons will realize t…

cond-mat.mes-hall2021★ 78 cited

Antisite defect qubits in monolayer transition metal dichalcogenides

Jeng-Yuan Tsai, Jinbo Pan, Hsin Lin +2

Being atomically thin and amenable to external controls, two-dimensional (2D) materials offer a new paradigm for the realization of patterned qubit fabrication and operation at roo…

cond-mat.mtrl-sci2020★ 24 cited

Monolayer 2D semiconducting tellurides for high-mobility electronics

Huta R. Banjade, Jinbo Pan, Qimin Yan

Discovery and design of two-dimensional (2D) materials with suitable band gaps and high carrier mobility is of vital importance for photonics, optoelectronics, and high-speed elect…

cond-mat.mtrl-sci2020★ 1 cited

Two-dimensional MX family of Dirac materials with tunable electronic and topological properties

Yan-Fang Zhang, Jinbo Pan, Huta Banjade +6

We propose a novel class of two-dimensional (2D) Dirac materials in the MX family (M=Be, Mg, Zn and Cd, X = Cl, Br and I), which exhibit graphene-like band structures with linearly…

cond-mat.mtrl-sci2020★ 40 cited

Quantum anomalous Hall effect in two-dimensional magnetic insulator heterojunctions

Jinbo Pan, Jiabin Yu, Yan-Fang Zhang +4

Recent years have witnessed tremendous success in the discovery of topological states of matter. Particularly, sophisticated theoretical methods in time-reversal-invariant topologi…

physics.comp-ph2018★ 204 cited

Atom2Vec: learning atoms for materials discovery

Quan Zhou, Peizhe Tang, Shenxiu Liu +3

Exciting advances have been made in artificial intelligence (AI) during the past decades. Among them, applications of machine learning (ML) and deep learning techniques brought hum…

cond-mat.mtrl-sci2017★ 44 cited

Prediction of Ideal Topological Semimetals with Triply Degenerate Points in NaCuTe Family

Jianfeng Wang, Xuelei Sui, Wujun Shi +6

Triply degenerate points (TDPs) in band structure of a crystal can generate novel TDP fermions without high-energy counterparts. Although identifying ideal TDP semimetals, which ho…