A5040861237- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Natural Fiber Reinforced Composites
- Data Visualization and Analytics
- Fiber-reinforced polymer composites
- Functional Brain Connectivity Studies
- Advanced Clustering Algorithms Research
- Topological and Geometric Data Analysis
- Mechanical Behavior of Composites
Chinese Academy of Sciences
2018-2024
Ningbo Institute of Industrial Technology
2024
Northeastern University
2018-2020
Institute of Theoretical Physics
2018
Network data sets are often constructed by some kind of thresholding procedure. The resulting networks frequently possess properties such as heavy-tailed degree distributions, clustering, large connected components and short average shortest path lengths. These considered typical complex appear in many contexts, prompting consideration their universality. Here we introduce a simple model for correlated relational study the network ensemble obtained it. We find that some, but not all,...
Abstract In this study, aramid fiber (AF)/phenolic resin prepreg was fabricated by impregnating low content carbon nanotube (CNT)‐reinforced phenolic with fabric through a two‐roll pressing process. Both non‐functionalized and carboxylic‐functionalized CNTs (CNTs CNTs‐COOH) were used for comparison study. For each of the formulations, composite laminate made hot‐pressing process number prepregs stacked together. Mechanical properties ballistic performance laminates material failure...
Grouping objects into clusters based on similarities or weights between them is one of the most important problems in science and engineering. In this work, by extending message passing algorithms spectral proposed for unweighted community detection problem, we develop a non-parametric method statistical physics, mapping problem to Potts model at critical temperature spin glass transition applying belief propagation solve marginals corresponding Boltzmann distribution. Our algorithm robust...