Theoretical analysis of Soft Conductive Materials for Next Generation Wearable System

Abstract

Purpose of the study: Recent advances in strategies for soft materials have transformed the wearable or bioelectronics from a rigid form into a soft, having advantages in terms of mechanical similarity with human tissue. Conductive nanocomposites are promising components as conductive interconnects in stretchable electronic system. This study is about optimizations of nanocomposite for enhancing its performances without degrading mechanical properties. 
 Methodology: First, we summarize the recent advances in metallic nanocomposites. Next, we discuss the 3-dimensional percolation theory, which is basic theoretical basis to understand the random system of nanocomposite. From this, we also briefly search important parameters having potential to change percolative connections of nanoparticles.
 Main Findings: We investigated required parameters, which could affect the percolation network of conductive fillers in matrix. Dimension, shape and volume fraction of fillers are very important to realize the high conductivity of conductive composite. By calculating some parameters with theoretical formula, we analyzed the effect of shape and dimensions on performance of conductive composite.
 Implications: This study can help researchers to understand the potential parameters that could affect the performances of conductive nanocomposite and analyze them in qualitative and quantitative approaches.
 Novelty: The potential applications of optimized conductive nanocomposite, especially focused on wearable and bio-implantable system are discussed.