526 citations
- Chinese Academy of SciencesCN36 papers
- Aalto UniversityFI34 papers
- Institute of Theoretical PhysicsCN23 papers
- Institute of High Energy PhysicsCN17 papers
- Loughborough UniversityGB17 papers
- Tel Aviv UniversityIL17 papers
- Chinese University of Hong KongHK15 papers
- Yangzhou UniversityCN15 papers
- University of Science and Technology BeijingCN12 papers
- Harbin Institute of TechnologyCN8 papers
- University of Chinese Academy of SciencesCN8 papers
- George Washington UniversityUS7 papers
141 papers
Mode-Resolved Multiband Ballistic Transport and Conductance Thresholds in Bilayer Graphene Junctions
Dan-Na Liu, Jun Zheng, Pierre A. Pantaleon
We study ballistic transport in bilayer graphene junctions and show how electrostatic gating, interlayer bias, and homogeneous strain provide complementary control over electron tr…
Benchmarking Chemically Scalable Machine-Learning Interatomic Potentials for Large-Scale Simulations of Multicomponent Alloys
Fei Shuang, Penghua Ying, Kai Liu +5
Machine learning interatomic potentials (MLIPs) with broad chemical flexibility are essential for atomistic simulations of compositionally complex alloys, but their deployment in l…
Interpretation of as a molecular state
Xiang Yu, Jin-Peng Zhang, Xu-Liang Chen +3
We investigate the mass and strong decay properties of the resonance using QCD sum rules, assuming it to be an S-wave molecular pentaquark state with $I(…
Mode-selective cloaking and phase-matching cavity resonances in bilayer graphene transport
Dan-Na Liu, Jun Zheng, Pierre A. Pantaleon
We study ballistic electron transport through electrostatic barriers in AB-stacked bilayer graphene within a full four-band framework. A mode-resolved analysis reveals how propagat…
Thermal conductivities of monolayer graphene oxide from machine learning molecular dynamics simulations
Bohan Zhang, Biyuan Liu, Penghua Ying +6
Graphene oxide (GO) exhibits rich chemical heterogeneity that strongly influences its structural, thermal, and mechanical properties, yet quantitatively linking reduction chemistry…
Anisotropic and isotropic elasticity and thermal transport in monolayer C networks from machine-learning molecular dynamics
Qing Li, Haikuan Dong, Penghua Ying +1
Two-dimensional fullerene networks have recently attracted increasing interest due to their diverse bonding topologies and mechanically robust architectures. In this work, we devel…