Highly nonlinear behaviour of memory biomimetic systems interpretation by frequency linearized techniques
Juan Bisquert a
a Universitat Jaume I, Institute of Advanced Materials (INAM) - Spain, Avinguda de Vicent Sos Baynat, Castelló de la Plana, Spain
Proceedings of Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCaS)
València, Spain, 2023 January 23rd - 25th
Organizers: Rohit Abraham John, Irem Boybat, Jason Eshraghian and Simone Fabiano
Contributed talk, Juan Bisquert, presentation 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.

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