Modelization of the Impedance Spectroscopy of composites by Electrical Networks
Lotfi Zekri, Nouredine Zekri, Jean-Pierre Clerc

TL;DR
This paper investigates how inter-grain distributions and sample size influence the impedance spectra of metal-insulator composites, revealing stability in impedance characteristics for sufficiently large samples.
Contribution
It introduces a model for impedance spectroscopy of composites considering inter-grain distributions and scaling effects, highlighting the stability of impedance spectra at large sample sizes.
Findings
Impedance spectra stabilize for samples larger than 200x200.
Characteristic frequencies depend on inter-grain distribution.
Sample size affects the frequency dependence of impedance.
Abstract
We examined in this work the effect of the inter-grains distributions as well as the scaling of the complex impedance in order to analyze its frequency dependance for composite metal-insulator films. The dependance of the characteristic frequencies on the inter-grain distribution is shown for large sample sizes. The impedance spectra become statistically stable above sizes of the order 200x200.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Materials for Construction · Sensor Technology and Measurement Systems · Neural Networks and Applications
