197 citations
- Academy of Mathematics and Systems ScienceCN106 papers
- Chinese Academy of SciencesCN96 papers
- University of Chinese Academy of SciencesCN35 papers
- Institute of Modern PhysicsCN6 papers
- Institute of PhysicsPL6 papers
- Northwest UniversityCN6 papers
- Peking UniversityCN6 papers
- Capital Normal UniversityCN5 papers
- Collaborative Innovation Center of Quantum MatterCN5 papers
- Southern University of Science and TechnologyCN5 papers
- University of HoustonUS5 papers
- RWTH Aachen UniversityDE4 papers
18 papers · 1 filter
Improvements in continuum modeling for biomolecular systems
Yu Qiao, Benzhuo Lu
Modeling of biomolecular systems plays an essential role in understanding biological processes, such as ionic flow across channels, protein modification or interaction, and cell si…
Noise Leads to Quasi-Consensus of Hegselmann-Krause Opinion Dynamics
Wei Su, Ge Chen, Yiguang Hong
This paper aims at providing rigorous theoretical analysis to investigate the consensus behavior of opinion dynamics in noisy environments. It is known that the well-known Hegselma…
A neurodynamic framework for local community extraction in networks
Shihua Zhang, Guanghua Hu, Wenwen Min
To understand the structure and organization of a large-scale social, biological or technological network, it can be helpful to describe and extract local communities or modules of…
Finite element methods for a class of continuum models for immiscible flows with moving contact lines
A. Reusken, X. Xu, L. Zhang
In this paper we present a finite element method (FEM) for two-phase incompressible flows with moving contact lines. We use a sharp interface Navier-Stokes model for the bulk phase…
Critical Connectivity and Fastest Convergence Rates of Distributed Consensus with Switching Topologies and Additive Noises
Ge Chen, Le Yi Wang, Chen Chen +1
Consensus conditions and convergence speeds are crucial for distributed consensus algorithms of networked systems. Based on a basic first-order average-consensus protocol with time…
Local community extraction in directed networks
Xuemei Ning, Zhaoqi Liu, Shihua Zhang
Network is a simple but powerful representation of real-world complex systems. Network community analysis has become an invaluable tool to explore and reveal the internal organizat…