Modelling electrical conduction in nanostructure assemblies through complex networks

Yao, Heming; Hsieh, Ya‐Ping; Kong, Jing; Hofmann, Mario

doi:10.1038/s41563-020-0664-1

Cited by 26 publications

(30 citation statements)

References 46 publications

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Section: Numerical Simulation and Theoretical Analysismentioning

confidence: 99%

“…For various filler shapes and concentrations, simulation results based on this improved modeling method showed good agreement with the experimental data. [ 130 ] Although accurate conductivity formulae cannot be derived through Monte Carlo simulation, it can still be used to quantitatively analyze the relationship between filler geometric properties or concentration and the conductivity of the composite.…”

Section: Numerical Simulation and Theoretical Analysismentioning

confidence: 99%

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Hybrid‐Filler Stretchable Conductive Composites: From Fabrication to Application

Yun

Tang

et al. 2021

Small Science

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Stretchable conductive composites (SCCs) are generally elastomer matrices filled with conductive fillers. They combine the conductivity of metals and carbon materials with the flexibility of polymers, which are attractive properties for applications such as stretchable electronics, wearable devices, and flexible sensors. Most conventional conductive composites that are filled with only one type of conductive filler face issues in mechanical and electrical properties. Recently, some studies introduced secondary fillers to create hybrid‐filler SCCs to solve these problems. The secondary fillers produce a synergistic effect with the primary fillers to enhance the electrical conductivity of the composites. They also improve the thermal conductivity and mechanical properties or impart composites with special functions like catalysis and self‐healing. Herein, the fabrication methods, stretchability enhancement strategies, and piezoresistivity of SCCs are analyzed, and their latest applications in stretchable electronics are introduced. Finally, the challenges and prospects of their development are discussed.

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Section: Numerical Simulation and Theoretical Analysismentioning

confidence: 99%

Section: Numerical Simulation and Theoretical Analysismentioning

confidence: 99%

Hybrid‐Filler Stretchable Conductive Composites: From Fabrication to Application

Yun

Tang

et al. 2021

Small Science

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“…We included methods-focused papers if they had a case-study application; 11 papers that did not include a case study on a real landscape, as well as a few applications in other branches of science, were not included in our descriptions of applications. We did retain one paper in materials science [53], as it addressed issues of complexity that may be of interest to ecological modelers. In our counts by software version and topic, we did not attempt to control for the repeated use of the same Circuitscape analysis in different research papers.…”

Section: Dynamic Approaches To Connectivity: Circuitscape Applications As a Case Studymentioning

confidence: 99%

Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment

Hall

Anantharaman

Landau

et al. 2021

Land

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The conservation field is experiencing a rapid increase in the amount, variety, and quality of spatial data that can help us understand species movement and landscape connectivity patterns. As interest grows in more dynamic representations of movement potential, modelers are often limited by the capacity of their analytic tools to handle these datasets. Technology developments in software and high-performance computing are rapidly emerging in many fields, but uptake within conservation may lag, as our tools or our choice of computing language can constrain our ability to keep pace. We recently updated Circuitscape, a widely used connectivity analysis tool developed by Brad McRae and Viral Shah, by implementing it in Julia, a high-performance computing language. In this initial re-code (Circuitscape 5.0) and later updates, we improved computational efficiency and parallelism, achieving major speed improvements, and enabling assessments across larger extents or with higher resolution data. Here, we reflect on the benefits to conservation of strengthening collaborations with computer scientists, and extract examples from a collection of 572 Circuitscape applications to illustrate how through a decade of repeated investment in the software, applications have been many, varied, and increasingly dynamic. Beyond empowering continued innovations in dynamic connectivity, we expect that faster run times will play an important role in facilitating co-production of connectivity assessments with stakeholders, increasing the likelihood that connectivity science will be incorporated in land use decisions.

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“…Therefore, these methods have been utilized in a wide range of areas in social science, biological science, infections, and so on. Recently, network theory has been applied to materials science 8,9) , where some essential parameters are extracted to represent the physical properties.…”

Section: Data Science For Complex Systemmentioning

confidence: 99%

Quantitative Evaluation of Connectivity in Elastomers for Describing Rubber Elasticity Based on Network Theory

Amamoto

2022

J. Soc. Rheol., Jpn

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In this review, the author introduces a recent contribution to the development of a quantitative evaluation method of connectivity in elastomers for describing rubber elasticity. In synthetic processes, the elastomers possess a heterogeneous network structure, which affects the rheological behaviors of elastomers, such as rubber elasticity. Although the heterogeneous structure of elastomers has been evaluated using both experimental and simulation methods, it is still difficult to estimate the heterogeneous structure of elastomers in terms of connectivity. Recently, the author reported a novel evaluation method for the chain connectivity of elastomers based on network theory to describe rubber elasticity. The unified centrality, including both topological and spatial information, can describe certain parameters related to rubber elasticity. Furthermore, the behavior of extended chains is also described by centrality. This approach is expected to contribute to progress in the theory of rubber elasticity by considering complex connectivity.

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Modelling electrical conduction in nanostructure assemblies through complex networks

Cited by 26 publications

References 46 publications

Hybrid‐Filler Stretchable Conductive Composites: From Fabrication to Application

Hybrid‐Filler Stretchable Conductive Composites: From Fabrication to Application

Circuitscape in Julia: Empowering Dynamic Approaches to Connectivity Assessment

Quantitative Evaluation of Connectivity in Elastomers for Describing Rubber Elasticity Based on Network Theory

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