Correlation between Electrochemical Relaxations and Morphologies of Conducting Polymer Dendrites

TL;DR

This paper investigates how the growth and shape of conducting polymer dendrites influence their electrochemical relaxation properties, revealing potential for in-materio learning and unconventional electronics through morphology-controlled impedance characteristics.

Contribution

It establishes a correlation between dendritic morphology and electrochemical relaxation behavior, demonstrating how growth controls dispersive capacitances and relaxation dynamics.

Findings

Correlation between growth duration and dispersive capacitance.

Growth influences relaxation times independently of external variables.

Morphology controls the dielectric relaxation dispersion coefficient.

Abstract

Conducting Polymer Dendrites (CPD) can engrave sophisticated patterns of electrical interconnects in their morphology with low-voltage spikes and few resources: they may unlock in operando manufacturing functionalities for electronics using metamorphism conjointly with electron transport as part of the information processing. The relationship between structure and information transport remains unclear and hinders the exploitation of the versatility of their morphologies to store and process electrodynamic information. This study details the evolution of CPD's circuit parameters with their growth and shape. Through electrochemical impedance spectroscopy, multiple distributions of relaxation times are evidenced and evolve specifically upon growth. Correlations are established between dispersive capacitances of dendritic morphologies and growth duration, independently from exogenous physical variables: distance, evaporation or aging. Deviation of the anomalous capacitance from the conventional Debye dielectric relaxation can be programmed, as the growth controls the dispersion coefficient of the dendrite's constant-phase elements relaxation. These results suggest that the fading-memory time window of pseudo-capacitive interconnects can practically be conditioned using CPD morphogenesis as an in materio learning mechanism. This study confirms the perspective of using electrochemistry for unconventional electronics, engraving information in the physics of conducting polymer objects, and storing information in their morphology, accessible by impedance spectral analysis.