DOI: https://doi.org/10.29363/nanoge.neumatdecas.2023.073
Publication date: 9th January 2023
The dynamic response of metal halide perovskite devices contains a combination of ionic and electronic phenomena and is an excellent model system for the understanding of artificial biomimetic computational elements as neurons and synapses. We present a physical model in terms of delayed recombination current that explains the evolution of impedance spectra and the evolution of current-voltage curves.1-3 We apply the dynamic picture based on a few neuron-like equations to the characterization of halide perovskite solar cells and memristors. A multitude of chemical, biological, and material systems present an inductive behavior that is not electromagnetic in origin. Here, it is termed a chemical inductor.4 We show that the structure of the chemical inductor consists of a two-dimensional system that couples a fast conduction mode and a slowing down element. The impedance spectra announce the type of hysteresis, either regular for capacitive response or inverted hysteresis for inductive response, and provides a new degree of control time domain response of artificial synapses.
(1) Bisquert, J. Hopf bifurcations in electrochemical, neuronal, and semiconductor systems analysis by impedance spectroscopy, Appl. Phys. Rev. 2022, 9, 011318.
(2) Bisquert, J.; Guerrero, A. Dynamic Instability and Time Domain Response of a Model Halide Perovskite Memristor for Artificial Neurons, J. Phys. Chem. Lett. 2022, 13, 3789-3795.
(3) Bisquert, J. Negative inductor effects in nonlinear two-dimensional systems. Oscillatory neurons and memristors, Chemical Physics Reviews 2023, to be published.
(4) Bisquert, J.; Guerrero, A. Chemical Inductor, J. Am. Chem. Soc. 2022, 144, 5996–6009.