Relaxation Time of Multipore Nanofluidic Memristors for Neuromorphic Applications DOI Creative Commons

Gonzalo Rivera-Sierra,

Patricio Ramı́rez, Juan Bisquert

и другие.

Journal of the American Chemical Society, Год журнала: 2025, Номер unknown

Опубликована: Май 11, 2025

Memristors have been positioned at the forefront of purposes for carrying out neuromorphic computation. Their tunable conductance properties enable imitation synaptic behavior. Nanofluidic memristors made multipore membranes shown their memristic and are candidate devices liquid systems. Such visible through an inductive hysteresis in current-voltage sweeps, which is then confirmed by characteristics impedance spectroscopy measurements. The dynamic behavior largely determined a voltage-dependent relaxation time. Here, we obtain kinetic time nanofluidic memristor via its spectra, modeling it deriving general equation this as function applied voltage, fully correlated with system's internal parameters. We show that characteristic comparable to natural neural Hence, open way study mimic neuron searching same times.

Язык: Английский

Synaptic Response of Fluidic Nanopores: The Connection of Potentiation with Hysteresis DOI Creative Commons
Juan Bisquert,

Marc Sánchez‐Mateu,

Agustín Bou

и другие.

ChemPhysChem, Год журнала: 2024, Номер 25(23)

Опубликована: Авг. 9, 2024

Abstract Iontronic fluidic ionic/electronic components are emerging as promising elements for artificial brain‐like computation systems. Nanopore ionic rectifiers can be operated a synapse element, exhibiting conductance modulation in response to train of voltage impulses, thus producing programmable resistive states. We propose model that replicates hysteresis, rectification, and time domain properties, based on between two conducting modes relaxation the state variable. show kinetic effects observed hysteresis loops govern potentiation phenomena related conductivity modulation. To illustrate efficacy model, we apply it replicate different experimental systems: polymer membrane with conical pores, blind‐hole nanoporous anodic alumina barrier oxide layer. transient analysis develops depression synaptic properties.

Язык: Английский

Процитировано

6

Unlocking Nanoprecipitation: A Pathway to High Reversibility in Nanofluidic Memristors DOI
Gregorio Laucirica, María Eugenia Toimil‐Molares, Waldemar A. Marmisollé

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(43), С. 58818 - 58826

Опубликована: Окт. 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.

Язык: Английский

Процитировано

6

Soft Memristor at a Microbubble Interface DOI
Yueke Niu, Yu Ma, Yanbo Xie

и другие.

Nano Letters, Год журнала: 2024, Номер 24(34), С. 10475 - 10481

Опубликована: Авг. 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.

Язык: Английский

Процитировано

5

Nanofluidic Volatile Threshold Switching Ionic Memristor: A Perspective DOI

Miliang Zhang,

Guoheng Xu, Hongjie Zhang

и другие.

ACS Nano, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

The fast development of artificial intelligence and big data drives the exploration low-power computing hardware. Neuromorphic devices represented by memristors may provide a possible paradigm beyond von Neumann's architecture because they enable integration processing storage units mimicking how brain processes complex information in parallel. In brain, is processed via multilevel spiking coding event-driven mechanisms, whose simplified neural circuit leaky-integration-and-fire model combining volatile threshold switching capacitors. As unit to emulate working environment explore unique functions ions molecules biological systems, nanofluidic ionic become essential but are still missing. This Perspective will review mechanism role as building block for neuromorphic list three routes ones.

Язык: Английский

Процитировано

0

Nanopore Fabrication Using Conventional 3D Printer DOI Creative Commons

Seungmin Kwak,

Seongjun Hong,

Bo‐Hyun Seo

и другие.

BioChip Journal, Год журнала: 2025, Номер unknown

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0

Exploring anomalous nanofluidic transport at the interfaces DOI Creative Commons
Shengping Zhang,

Ruiyang Song,

Haiou Zeng

и другие.

Droplet, Год журнала: 2024, Номер 3(2)

Опубликована: Март 13, 2024

Abstract Transport of ions and water is essential for diverse physiological activities industrial applications. As the dimension approaches nano even angstrom scale, exhibit anomalous behaviors that differ significantly from bulk. One key reasons these distinctive prominent influence surface effects related transport properties occurring at interface under such (sub)nanoconfinement. Therefore, exploring nanofluidic interfaces could not only contribute to unraveling intriguing ion but also facilitate development devices with tunable mass practical In this review, we focus on three crucial governing transport, namely liquid–gas interface, liquid–solid liquid–liquid emphasis elucidating their intricate interfacial structures critical roles phenomena. Additionally, potential applications associated liquid–gas, liquid–solid, are discussed. Finally, present a perspective pivotal nanofluidics, as well challenges in advancing field.

Язык: Английский

Процитировано

3

Neural Functions Enabled by a Polarity-Switchable Nanofluidic Memristor DOI

Yike Xiao,

Weiling Sun,

Cheng Gao

и другие.

Nano Letters, Год журнала: 2024, Номер unknown

Опубликована: Сен. 30, 2024

Reproducing neural functions with artificial nanofluidic systems has long been an aspirational goal for neuromorphic computing. In this study, functions, such as activation and synaptic plasticity, are successfully accomplished a polarity-switchable memristor (PSNM), which is based on the anodized aluminum oxide (AAO) nanochannel array. The PSNM unipolar memristive behavior at high electrolyte concentrations bipolar low concentrations, can emulate respectively. mechanisms behaviors related to polyelectrolytic Wien (PEW) effect ion accumulation/depletion effect, These findings beneficial advancement of computing platforms.

Язык: Английский

Процитировано

3

Synaptic-like plasticity in 2D nanofluidic memristor from competitive bicationic transport DOI Creative Commons
Yechan Noh, Alex Smolyanitsky

Science Advances, Год журнала: 2024, Номер 10(45)

Опубликована: Ноя. 6, 2024

Synaptic plasticity, the dynamic tuning of signal transmission strength between neurons, serves as a fundamental basis for memory and learning in biological organisms. This adaptive nature synapses is considered one key features contributing to superior energy efficiency brain. Here, we use molecular dynamics simulations demonstrate synaptic-like plasticity subnanoporous two-dimensional membrane. We show that train voltage spikes dynamically modifies membrane’s ionic permeability process involving competitive bicationic transport. shown be repeatable after given resting period. Because combination subnanometer pore size atomic thinness membrane, this system exhibits dissipation 0.1 100 aJ per spike, which several orders magnitude lower than 10 fJ spike human synapse. reveal underlying physical mechanisms at detail investigate local energetics apparent behavior.

Язык: Английский

Процитировано

3

Leaving Constraints of Single Nanopores and Designing Biomimetic Nanopore Arrays DOI
Ethan Cao, Zuzanna S. Siwy

Current Opinion in Electrochemistry, Год журнала: 2025, Номер unknown, С. 101677 - 101677

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Bioinspired ion-shuttling memristor with both neuromorphic functions and ion selectivity DOI Creative Commons

Boyang Xie,

Tianyi Xiong,

Guang-Can Guo

и другие.

Proceedings of the National Academy of Sciences, Год журнала: 2025, Номер 122(10)

Опубликована: Март 5, 2025

The fluidic memristor has attracted growing attention as a promising candidate for neuromorphic computing and brain-computer interfaces. However, with ion selectivity that of natural channels remains key challenge. Herein, inspired by the structure biomembranes, we developed an ion-shuttling (ISM) utilizing organic solvents artificial carriers to emulate embedded in which exhibited both functions selectivity. Pinched hysteresis I-V loop curve, scan rate dependency, distinctive impedance spectra confirmed memristive characteristics as-prepared device. Moreover, memory mechanism was discussed theoretically validated finite-element modeling. ISM features multiple functions, such paired-pulse facilitation, depression, learning-experience behavior. More importantly, observed, allowed further emulation ion-selective neural like resting membrane potential. Benefiting from structural similarity membrane-embedded channels, opens door ion-based sophisticated chemical regulation manipulating multifarious ions functions.

Язык: Английский

Процитировано

0