A5034610780- Opinion Dynamics and Social Influence
- Mathematical and Theoretical Epidemiology and Ecology Models
- Complex Network Analysis Techniques
- Nonlinear Dynamics and Pattern Formation
- Ecosystem dynamics and resilience
- Evolution and Genetic Dynamics
- COVID-19 epidemiological studies
- Land Use and Ecosystem Services
- Ecology and Vegetation Dynamics Studies
- Neural Networks Stability and Synchronization
- Slime Mold and Myxomycetes Research
- Advancements in Semiconductor Devices and Circuit Design
- Ion-surface interactions and analysis
- Diffusion and Search Dynamics
- Gene Regulatory Network Analysis
- Evolutionary Game Theory and Cooperation
- Cellular Automata and Applications
- Silicon and Solar Cell Technologies
- Climate Change and Health Impacts
- Artificial Immune Systems Applications
- Integrated Circuits and Semiconductor Failure Analysis
- Earth Systems and Cosmic Evolution
- Nuclear reactor physics and engineering
- Fusion materials and technologies
- Psoriasis: Treatment and Pathogenesis
Beijing Institute of Technology
2024-2025
North China University of Science and Technology
2025
Tangshan College
2024
Northwestern Polytechnical University
2019-2023
Southeast University
2023
Fourth Affiliated Hospital of China Medical University
2021
China Medical University
2021
Southwest University
2018
The spontaneous emergence of patterns in nature, such as stripes and spots, can be mathematically explained by reaction-diffusion systems. These are often referred Turing to honor the seminal work Alan early 1950s. With coming age network science, with its related departure from diffusive nearest-neighbor interactions long-range links between nodes, additional layers complexity behind pattern formation have been discovered, including irregular spatiotemporal patterns. Here we investigate...
Abstract In the face of persistent threats posed by infectious diseases, despite remarkable medical advancements, understanding and efficiently controlling their spatial spread through mathematical modeling remain imperative. Networked reaction-diffusion systems offer a promising avenue to effectively delineate population discrete distribution individual movement heterogeneity. However, dynamics diseases within these formulation optimal control strategies are currently undergoing vigorous...
Patterns in nature are fascinating both aesthetically and scientifically. Alan Turing’s celebrated reaction–diffusion model of pattern formation from the 1950s has been extended to an astounding diversity applications: cancer medicine, via nanoparticle fabrication, computer architecture. Recently, several authors have studied underlying networks, but thus far, controlling a system network obtain particular remained elusive. We present solution this problem form analytical framework numerical...
Understanding the feedback loop that links spatiotemporal spread of infectious diseases and human behavior is an open problem. To study this problem, we develop a multiplex framework couples epidemic spreading across subpopulations in metapopulation network (i.e., physical layer) with awareness about communication virtual layer). We explicitly interactions between mobility patterns propagation among individuals. analyze coupled dynamics using microscopic Markov chains (MMCs) equations...
Inappropriate human activities contribute to the degradation of ecosystems in arid or semi-arid regions. Therefore, emphasizing importance strategies for restoring vegetation these areas cannot be overstated. However, there has been insufficient research on how develop effective restoration at minimal cost. This paper addresses this gap by studying optimizing spatiotemporal distribution through local and boundary controls can reduce level desertification pattern structures, thereby...
We introduce a control scheme able to steer the evolution of networked reaction-diffusion systems toward any intended dynamics. Specifically, we consider simplicial complexes that can be collapsed into weighted complex networks by leveraging linear relationship between Laplacian matrix and each order simplex. The method integrates reaction network-based diffusion controls and, as far effectiveness cost are concerned, features significantly improved performance over traditional...
Reaction-diffusion processes organized in networks have attracted much interest recent years due to their applications across a wide range of disciplines. As one type most studied solutions reaction-diffusion systems, patterns broadly exist and are observed from nature human society. So far, the theory pattern formation has made significant advances, among which novel class instability, presented as wave patterns, been found directed networks. Such proved fruitful but significantly affected...
Abstract During the past decades, pattern formulation with reaction–diffusion systems has attracted great research interest. Complex networks, from single-layer networks to more complicated multiplex have made contribution development of this area, especially emergence Turing patterns. While among vast majority existing works on they only take into account simple case ordinary diffusion, which is termed as self-diffusion. However, cross-diffusion, a significant phenomenon, reveals direction...
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The damage of silicon carbide substrates by the helium focused ion beam (helium FIB) process at micro-nano scale is investigated. At energy 10~35 and dose 0.03~0.075 / , FIB experiment was carried out on substrate, evolution law substrate with parameters explored. Then, an empirical equation for profile amorphous region processed proposed compared that substrates.
Predator-prey models have generated growing interest across disciplines ranging from mathematics to ecology. The theory of pattern formation in predator-prey systems organized monolayer networks has often been investigated, due its significance both theoretical advances and practical applications. Here we broaden the case multiplex networks, which are easily found diverse areas, such as neuroscience, social transportation systems. Moreover, incorporate model with cross-diffusion by...