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Article
Multidisciplinary Sciences
Padinhare Cholakkal Harikesh et al.
Summary: This study presents the development of organic electrochemical neurons (OECNs) with ion-modulated spiking, based on all-printed complementary organic electrochemical transistors. The OECNs demonstrate facile bio-integration with Venus Flytrap, showing potential for integration with biological signaling systems. The integration of artificial neuromorphic devices with biological systems is of fundamental importance for future brain-machine interfaces, prosthetics, and intelligent soft robotics.
NATURE COMMUNICATIONS
(2022)
Review
Chemistry, Multidisciplinary
Mohd Taukeer Khan et al.
Summary: The perovskites solar cells (PSCs) have a complex device architecture and various charge extraction processes. Capacitance spectroscopy is an important technique to understand the physical phenomena and charge carrier kinetics in PSCs, enabling further improvement in device performance.
Article
Chemistry, Multidisciplinary
Juan Bisquert et al.
Summary: Chemical inductor is a non-electromagnetic inductive behavior present in various chemical, biological, and material systems. Its structure consists of a two-dimensional system coupling a fast conduction mode and a slowing down element, and it is generally defined in dynamical terms. Chemical inductor exhibits familiar features in electrochemical reactions, solid-state semiconductor devices, and biological neurons, and plays a crucial role in system stability, bifurcations, and chaotic properties.
JOURNAL OF THE AMERICAN CHEMICAL SOCIETY
(2022)
Article
Materials Science, Multidisciplinary
Juan Bisquert
Summary: This paper investigates the synchronization of neurons and its significance in understanding brain function and developing neural computation. By analyzing FHN neurons, the study discovers new elements and oscillatory impedance introduced by delayed interaction, which has potential applications in determining the extent of coupling between neurons experimentally.
PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE
(2022)
Review
Physics, Applied
Juan Bisquert
Summary: This paper reviews the linear stability analysis of oscillatory systems controlled by current-voltage using the method of impedance spectroscopy. The analogies between neurons, electrochemical, and semiconductor devices are discussed, and the application of impedance spectroscopy in studying new systems is explored.
APPLIED PHYSICS REVIEWS
(2022)
Article
Chemistry, Physical
Mariana Berruet et al.
Summary: An investigation on the kinetic behavior of MAPbI(3) memristors reveals that the onset voltage to a high conducting state is strongly dependent on the voltage sweep rate, and the impedance spectra exhibit complex capacitive and inductive patterns. By developing a dynamic model, insights into the coupling of ionic and electronic properties that give rise to the resistive switching behavior are obtained. The model effectively distinguishes between diffusion and transition-state-formation steps and describes well the experimental current-voltage curves at different scan rates and impedance spectra.
ACS ENERGY LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Dennis Christensen et al.
Summary: This article introduces the characteristics and advantages of von Neumann architecture and neuromorphic computing systems. While traditional von Neumann architecture is powerful, it has high power consumption and cannot handle complex data. Neuromorphic computing systems, inspired by biological concepts, can achieve lower power consumption for storing and processing large amounts of digital information. The aim of this article is to provide perspectives on the current state and future challenges in the field of neuromorphic technology, and to provide a concise yet comprehensive introduction and future outlook for readers.
NEUROMORPHIC COMPUTING AND ENGINEERING
(2022)
Review
Chemistry, Multidisciplinary
Antonio Guerrero et al.
Summary: Impedance spectroscopy (IS) is widely used in the study of metal halide perovskite materials, solar cells, electrooptic and memory devices, however, the variability of samples and the presence of coupled ionic-electronic effects continue to present complex challenges in this field.
Article
Physics, Applied
Mohammad Javad Mirshojaeian Hosseini et al.
Summary: Organic electronics have been used to implement an Integrate-and-Fire spiking neuron based on the Axon-Hillock CMOS circuit, demonstrating bio-compatibility and flexibility. This study showcases the operation characteristics and computing capabilities of the organic neuromorphic circuit, with low power dissipation.
JOURNAL OF PHYSICS D-APPLIED PHYSICS
(2021)
Article
Chemistry, Physical
Kaijin Kang et al.
Summary: This Perspective provides a condensed overview of halide perovskite RRAMs, including materials, device performance, switching mechanism, and potential applications. The challenges of halide perovskite films, device fabrication, memory performance reliability, and understanding of switching mechanism are discussed, along with potential paths for future research.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Article
Chemistry, Physical
Juan Bisquert
Summary: This study explores the dynamic properties of neurons using the FHN model to simulate neuron excitability. By analyzing impedance response, it reveals the evolution of characteristic spectra of neurons. Converting the nonlinear differential equations of FHN into a circuit model, different impedance spectra are classified, and trajectories of variables in phase space are calculated.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Review
Nanoscience & Nanotechnology
Yuetong Fang et al.
Summary: Memristors are gaining attention as a basic circuit element, especially in the field of nonvolatile memory devices. Halide perovskite memristors are seen as a potential solution for low-cost information storage and computing. Developing lead-free HP memristors is crucial to address the issues of high toxicity and low stability associated with lead-based HP memristors.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Chemistry, Multidisciplinary
Rohit Abraham John et al.
Summary: The focus of current research is on neuromorphic computing hardware, particularly on the efficient implementation of drift and diffusive memristors for deep learning and reservoir computing networks. While organic ionotronic electrochemical materials offer an alternative, the development of diffusive memristors with these materials is still in early stages, with the modulation of their switching dynamics yet to be explored.
ADVANCED MATERIALS
(2021)
Review
Materials Science, Multidisciplinary
Aristide Gumyusenge et al.
Summary: Neuromorphic computing aims to address the challenges in AI with brain-like computing architectures and novel synaptic memories. Despite various emerging memory devices being studied to emulate biological synapses, a material/device system with both high performance for neuromorphic computing and biocompatibility for potential body-computer integration is currently lacking.
ANNUAL REVIEW OF MATERIALS RESEARCH, VOL 51, 2021
(2021)
Article
Chemistry, Physical
Agustin Bou et al.
Summary: Understanding the operation of neurons and synapses is crucial for replicating biological computation, with artificial neuromorphic networks offering potential for faster and more energy-efficient electronic circuits. Memristors are key candidates for mimicking natural biocomputation processes, and the study of material neuromorphic elements often involves analyzing time transient signals. This research presents an analysis of neural systems in the frequency domain using small-amplitude ac impedance spectroscopy, deriving impedance spectra for memristors and neuron models and providing insights into the interpretation of experimental impedance spectra for neuronal elements.
JOURNAL OF PHYSICAL CHEMISTRY B
(2021)
Article
Chemistry, Physical
Himangshu Jyoti Gogoi et al.
Summary: HOIP-based flexible memristors are attracting attention as a candidate for high-density information storage technology, as well as for healthcare technology and IoT, due to their unique properties such as low weight, flexibility, compatibility, stretchability, and low power consumption. Researchers have focused on various aspects including flexible substrates, materials, interfaces, resistive switching mechanisms, and methodologies of perovskite growth to advance the field of flexible memristors.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Article
Chemistry, Physical
Kyung Ju Kwak et al.
Summary: Halide perovskites are noted for their exotic properties and have shown promise for use in memristors, particularly in resistive switching memory devices and artificial synapses for neuromorphic computing. Current research focuses on state-of-the-art perovskite-based memristive devices and opportunities to improve their commercial viability.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Article
Materials Science, Multidisciplinary
Jiangdong Gong et al.
Summary: This study demonstrated a methylammonium halide-doped perovskite artificial synapse, which can achieve a wider range of synaptic plasticity regulation and utilize light irradiation to realize important synaptic functions, high-order learning behaviors, and higher pattern recognition accuracy.
MATERIALS TODAY PHYSICS
(2021)
Article
Chemistry, Physical
Juan Bisquert et al.
Summary: This study explores the internal electronic-ionic effects of perovskite solar cells, proposes a method to predict time domain response, addresses the need for assessing solar cell behavior, identifies that regular hysteresis is capacitive while inverted hysteresis is inductive, and reports the phenomenon of transformation from capacitive hysteresis to inductive hysteresis.
ACS PHYSICAL CHEMISTRY AU
(2021)
Article
Chemistry, Physical
Ankur Solanki et al.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2020)
Article
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Jia-Qin Yang et al.
Article
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Jiangdong Gong et al.
ADVANCED FUNCTIONAL MATERIALS
(2020)
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Yoeri van de Burgt et al.
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Yaakov Tuchman et al.
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NATURE COMMUNICATIONS
(2020)
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Automation & Control Systems
Mostafa Rahimi Azghadi et al.
ADVANCED INTELLIGENT SYSTEMS
(2020)
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Jaeho Choi et al.
ADVANCED MATERIALS
(2018)
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Rohit Abraham John et al.
ADVANCED MATERIALS
(2018)
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Adam Pockett et al.
ACS ENERGY LETTERS
(2017)
Article
Chemistry, Multidisciplinary
Wentao Xu et al.
ADVANCED MATERIALS
(2016)
Review
Neurosciences
Klaus M. Stiefel et al.
JOURNAL OF NEUROPHYSIOLOGY
(2016)
Article
Neurosciences
Adnan Mehonic et al.
FRONTIERS IN NEUROSCIENCE
(2016)
Review
Nanoscience & Nanotechnology
J. Joshua Yang et al.
NATURE NANOTECHNOLOGY
(2013)
Article
Physics, Condensed Matter
Yuriy V. Pershin et al.
ADVANCES IN PHYSICS
(2011)
Article
Mathematical & Computational Biology
Bruno Cessac et al.
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
(2008)
Review
Mathematics, Interdisciplinary Applications
T Kostova et al.
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
(2004)
