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Inductive and Capacitive Hysteresis of Current-Voltage Curves: Unified Structural Dynamics in Solar Energy Devices, Memristors, Ionic Transistors, and Bioelectronics

Juan Bisquert
PRX Energy 3, 011001 – Published 8 January 2024

Abstract

Hysteresis observed in the current-voltage curves of both electronic and ionic devices is a phenomenon where the curve's shape is altered on the basis of the measurement speed. This effect is driven by internal processes that introduce a time delay in the response to an external stimulus, leading to measurements being dependent on the history of the past disturbances. This hysteresis effect has posed challenges, particularly in solution-processed photovoltaic devices such as halide perovskite solar cells, where it significantly complicates the evaluation of performance quality. In other devices, such as memristors and organic electrochemical transistors for neuromorphic applications, hysteresis is an inherent aspect of their functionality, facilitating transitions between different conductivity states. Natural and artificial ionically conducting channels also exhibit pronounced hysteresis, a crucial component for generating action potentials in neurons. In this study, we aim to categorize various forms of hysteresis by identifying shared elements among diverse physical, chemical, and biological conducting systems. Our method involves examining hysteresis from multiple angles, using simplified models that capture essential response types. We analyze system behavior using techniques such as linear sweep voltammetry and impedance spectroscopy and transient currents resulting from small voltage steps. Our investigation reveals two primary hysteresis types based on how current responds to rapid sweep rates: capacitive hysteresis and inductive hysteresis. These terms correspond to the dominant component in the equivalent circuit, determining the transient time response. Remarkably, these concepts provide insights into vastly different systems, spanning solar cells, capacitors, transistors, electrofluidic nanopores, and protein ion channels. The consistency in electrical responses across the different cases enables the identification of the primary cause of hysteresis. We also elucidate the frequency dependence of hysteresis and the stepwise responses of solar cells, illustrating how fundamental relaxations contribute to the overall surplus or deficit of current during extensive voltage sweeps that define the current-voltage curve.

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  • Received 25 August 2023
  • Revised 29 November 2023

DOI:https://doi.org/10.1103/PRXEnergy.3.011001

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Energy Science & Technology

Authors & Affiliations

Juan Bisquert*

  • Institute of Advanced Materials (INAM), Universitat Jaume I, 12006 Castelló, Spain

  • *bisquert@uji.es

Popular Summary

Many systems exhibit a time- and measurement-dependent change in response to an applied electric field, known as current-voltage hysteresis. Such hysteresis can be a device feature, enabling the memory effects of a memristor device, or a hindrance, obscuring the analysis of perovskite-based solar cells. In this Perspective, the author considers current-voltage hysteresis across a variety of electronically and ionically conducting systems and uses simple models to propose general and widely applicable principles. The author finds that all current-voltage hysteresis can be identified as capacitive-type, inductive-type, or a combination of the two and describes how the hysteresis types are manifested in common experimental measurements. The presented archetypes offer a shared framework to understand current-voltage hysteresis across solar cells, electronic devices, memory devices, and biological systems.

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Vol. 3, Iss. 1 — January - March 2024

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