Computational Approaches

Brosseau, Christian

doi:10.1007/978-3-031-37981-9_5

Cited by 1 publication

(2 citation statements)

References 341 publications

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“…[75] Random search algorithms, such as GA and simulated annealing, are becoming increasingly used in global optimization in the understanding of complex systems. [76] The key physical idea, which underlies this optimization and stochastic search problem, is in fact quite intuitive: GA is a computational model inspired by natural selection described by genetics and the Darwinian theory of evolution. [75] GA techniques have been applied to a wide variety of fields including pattern recognition, image analysis, engineering design, and electromagnetism.…”

Section: Extending the Teppe-based Model By Using Genetic Algorithmmentioning

confidence: 99%

“…[75] GA techniques have been applied to a wide variety of fields including pattern recognition, image analysis, engineering design, and electromagnetism. [17,76] GA belongs to the larger class of evolutionary algorithms, which generates solutions to optimization problems using techniques inspired by natural evolution, such as mutation and selection. In computational physics, GA approximates the target probability distributions by a large cloud of random samples termed individuals.…”

Section: Extending the Teppe-based Model By Using Genetic Algorithmmentioning

confidence: 99%

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Modeling the Interface Between Phases in Dense Polymer‐Carbon Black Nanoparticle Composites by Dielectric Spectroscopy: Where Are We Now and What are the Opportunities?

Brosseau

2024

Macro Theory & Simulations

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The macroscopic properties of polymer nanocomposites (PNC) rely largely on the interphase between the polymer chains and the filler particles. One significant difficulty to solve this issue is to quantitatively model the structure‐property correlations due to the interfacial region in these complex materials. While dielectric spectroscopy (DS) measurements are routinely used to characterize the effective permittivity of filled polymers, fitting standard effective medium models and mixing equations to these data remains notoriously difficult to interpret. This is due to the absence of explicit reference to internal length scales characterizing the interfaces in the PNC. As an illustrative example, a two‐level homogenization framework is proposed which enables the extraction of useful information on the impact of a thin interphase confined on a nanometer length scale based on broadband DS data. This model leads to new ways of tuning the interphase so as to optimize the material's response to electric field, a situation relevant for electromagnetic shielding. This approach provides guidance on how to observe directly and experimentally the actual properties of the interface between the phases (as opposed to model‐based inference). Aside from its secure physical foundation in the theory of effective medium, a significant advantage of this approach is that a genetic algorithm (GA) technique applied to this physics‐based model enables the uniqueness of the fit parameters to be considered, as the GA method is robust in terms of finding globally optimum solutions, therefore placing confidence in non‐universal values of the percolation exponents. Recent work in physics‐informed machine learning indicates that the effective dielectric properties of PNC with many degrees of freedom due to their complex morphology can be described by considering only a few degrees of freedom describing the interface features between the phases in these composites.

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Section: Extending the Teppe-based Model By Using Genetic Algorithmmentioning

confidence: 99%

Section: Extending the Teppe-based Model By Using Genetic Algorithmmentioning

confidence: 99%

Modeling the Interface Between Phases in Dense Polymer‐Carbon Black Nanoparticle Composites by Dielectric Spectroscopy: Where Are We Now and What are the Opportunities?

Brosseau

2024

Macro Theory & Simulations

View full text Add to dashboard Cite

show abstract

Computational Approaches

Cited by 1 publication

References 341 publications

Modeling the Interface Between Phases in Dense Polymer‐Carbon Black Nanoparticle Composites by Dielectric Spectroscopy: Where Are We Now and What are the Opportunities?

Modeling the Interface Between Phases in Dense Polymer‐Carbon Black Nanoparticle Composites by Dielectric Spectroscopy: Where Are We Now and What are the Opportunities?

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