Single-Pore Nanofluidic Logic Memristor with Reconfigurable Synaptic Functions and Designable Combinations

Journal of the American Chemical Society, Journal Year: 2024, Volume and Issue: 146(21), P. 14558 - 14565

Published: May 16, 2024

The biological neural network is a highly efficient in-memory computing system that integrates memory and logical functions within synapses. Moreover, reconfiguration by environmental chemical signals endows networks with dynamic multifunctions enhanced efficiency. Nanofluidic memristors have emerged as promising candidates for mimicking synaptic functions, owing to their similarity synapses in the underlying mechanisms of ion signaling channels. However, realizing signal-modulated logic nanofluidic memristors, which basis brain-like applications, remains unachieved. Here, we report single-pore memristor reconfigurable functions. Based on different degrees protonation deprotonation functional groups inner surface single pore, modulation are realized. More noteworthy, this can not only avoid average effects multipore but also act fundamental component constructing complex through series parallel circuits, lays groundwork future artificial networks. implementation gates signals, diverse combinations opens up new possibilities applications brain-inspired computing.

Language: Английский

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Memristive arrangements of nanofluidic pores

Physical review. E, Journal Year: 2024, Volume and Issue: 109(4)

Published: April 24, 2024

We demonstrate that nanofluidic diodes in multipore membranes show a memristive behavior can be controlled not only by the amplitude and frequency of external signal but also series parallel arrangements membranes. Each memristor consists polymeric membrane with conical nanopores allow current rectification due to electrical interaction between ionic solution pore surface charges. This charge-regulated transport shows rich nonlinear physics, including memory inductive effects, which are characterized here current-voltage curves impedance spectroscopy. Also, neuromorphiclike potentiation conductance following voltage pulses (spikes) is observed. The physical concepts should have application for information processing conversion iontronics hybrid devices.

Language: Английский

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Artificial Funnel Nanochannel Device Emulates Synaptic Behavior

Nano Letters, Journal Year: 2024, Volume and Issue: 24(20), P. 6192 - 6200

Published: April 26, 2024

Creating artificial synapses that can interact with biological neural systems is critical for developing advanced intelligent systems. However, there are still many difficulties, including device morphology and fluid selection. Based on Micro-Electro-Mechanical System technologies, we utilized two immiscible electrolytes to form a liquid/liquid interface at the tip of funnel nanochannel, effectively enabling wafer-level fabrication, interactions between multiple information carriers, electron-to-chemical signal transitions. The distinctive ionic transport properties successfully achieved hysteresis in transport, resulting adjustable multistage conductance gradient synaptic functions. Notably, similar terms structure especially low operating voltage (200 mV), which matches potential (∼110 mV). This work lays foundation realizing function iontronics neuromorphic computing ultralow voltages in-memory computing, break limits barriers brain–machine interfaces.

Language: Английский

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Nanofluidic Ionic Memristors

ACS Nano, Journal Year: 2024, Volume and Issue: unknown

Published: July 18, 2024

Living organisms use ions and small molecules as information carriers to communicate with the external environment at ultralow power consumption. Inspired by biological systems, artificial ion-based devices have emerged in recent years try realize efficient information-processing paradigms. Nanofluidic ionic memristors, memory resistors based on confined fluidic systems whose internal conductance states depend historical voltage, attracted broad attention are used neuromorphic for computing. Despite their high exposure, nanofluidic memristors still initial stage. Therefore, systematic guidance developing reasonably designing is necessary. This review systematically summarizes history, mechanisms, potential applications of memristors. The essential challenges field outlook future also discussed.

Language: Английский

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Hysteresis, Rectification, and Relaxation Times of Nanofluidic Pores for Neuromorphic Circuit Applications

Advanced Physics Research, Journal Year: 2024, Volume and Issue: 3(8)

Published: June 4, 2024

Abstract Based on the emergence of iontronic fluidic components for brain‐inspired computation, general dynamical behavior nanopore channels is discussed. The main memory effects nanopores are obtained by combination rectification and hysteresis. Rectification imparted an intrinsic charge asymmetry that affects ionic current across nanopores. It accurately described a background conductivity higher conduction branch activated state variable. Hysteresis produces self‐crossing diagrams, in which high side shows inductive hysteresis, low presents capacitive These properties well captured measurements impedance spectroscopy show correspondent spectra each voltage wing. detailed hysteresis transient response determined relaxation time gating variable, inspired Hodgkin‐Huxley neuron model. classification based simple models provides guidance prospective application artificial neuromorphic computation according to measurement complementary techniques.

Language: Английский

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Bioinspired Nanofluidic Circuits with Integrating Excitatory and Inhibitory Synapses

Nano Letters, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

Brain neural networks intricately integrate excitatory and inhibitory synaptic potentials to modulate the generation or suppression of action potentials, laying foundation for neuronal computation. Although bioinspired nanofluidic systems have replicated some functions, complete integration postsynaptic remains unachieved. In this work, developed ion concentration gradient memristor (ICGNM) modulates memristive effects through adjustments exhibits plasticity phenomena, including paired-pulse facilitation, depression, spike-rate-dependent plasticity. Furthermore, by incorporation ICGNMs as elements into classic Hodgkin–Huxley model, potential is replicated. addition simulating spiking, these are also employed in a circuit simulate signals, which highly analogous signal actual circuits. This work represents new step toward ionic computing solution with

Language: Английский

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A High‐Stability Pressure‐Sensitive Implantable Memristor for Pulmonary Hypertension Monitoring

Advanced Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 12, 2024

Pulmonary hypertension (PH) significantly affects the quality of life and lifespan humans has promoted development flexible implantable electronic devices for PH diagnosis prevention. Traditional based on von Neumann architecture face insurmountable challenges in processing large amounts biological data due to computational bottlenecks. Memristors, with integrated in-memory sensing computing capabilities, can effectively eliminate bottlenecks become one most promising products health monitoring. Here, a memristor Ag/MnO

Language: Английский

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Memristive Characteristics in an Asymmetrically Charged Nanochannel

The Journal of Physical Chemistry Letters, Journal Year: 2024, Volume and Issue: 15(26), P. 6852 - 6858

Published: June 25, 2024

The emergent nanofluidic memristor provides a promising way of emulating neuromorphic functions in the brain. conical-shaped nanopore showed features for memristor, inspiring us to investigate memory effects asymmetrically charged nanochannels due their high current rectification, which may result good effects. Here, an channel were numerically simulated by Poisson–Nernst–Planck equations. Our results that I–V curves represented diode low scanning frequency and then became finally resistor as increased. We successfully replicated learning behavior our system with history-dependent ion redistribution nanochannel. Some critical factors quantitatively analyzed including voltage amplitude, optimal frequency, Dukhin number. Experimental characterizations also carried out. findings are useful design memristors principle enrichment depletion well determination best settings.

Language: Английский

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Soft Memristor at a Microbubble Interface

Nano Letters, Journal Year: 2024, Volume and Issue: 24(34), P. 10475 - 10481

Published: Aug. 8, 2024

Memristors show promising features for neuromorphic computing. Here we report a soft memristor based on the liquid–vapor surface of microbubble. The thickness liquid film was modulated by electrostatic and interfacial forces, enabling resistance switches. We found pinched current hysteresis at scanning periods between 1.6 51.2 s, while representing resistor below s diode-like behavior above s. approximate thickening/thinning dynamics pressure-driven flow interface derived impacts salt concentration voltage amplitude memory effects. Our work opens new approach to building nanofluidic memristors interface, which may be useful types computing in future.

Language: Английский

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Unlocking Nanoprecipitation: A Pathway to High Reversibility in Nanofluidic Memristors

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(43), P. 58818 - 58826

Published: Oct. 18, 2024

Solid-state nanochannels have emerged as a promising platform for the development of ionic circuit components with analog properties to their traditional electronic counterparts. In last years, nanofluidic devices memristive attracted special interest due applicability in, example, construction brain-like computing systems. this work, an asymmetric track-etched channel memory-enhanced ion transport is reported. The results illustrate that formation nanoprecipitates on walls induces memory effects in transport, leading characteristic hysteresis loops current–voltage curves, hallmark behavior. Notably, these are achievable straightforward experimental setup combines aqueous solvent and relatively low-soluble inorganic salt. various conductance states can be rapidly reversibly tuned over prolonged time scales. Furthermore, under appropriate measurement conditions, device alternate between different iontronic regimes states, encompassing current rectification, ON–OFF memristor-like These findings provide insights into design optimization bioinspired components.

Language: Английский

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