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

Journal of the American Chemical Society, Год журнала: 2024, Номер 146(21), С. 14558 - 14565

Опубликована: Май 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.

Язык: Английский

---

Ionic Transistors

ACS Nano, Год журнала: 2024, Номер 18(6), С. 4624 - 4650

Опубликована: Янв. 29, 2024

Biological voltage-gated ion channels, which behave as life's transistors, regulate transport precisely and selectively through atomic-scale selectivity filters to sustain important life activities. By this inspiration, voltage-adaptable ionic transistors that use ions signal carriers may provide an alternative information processing unit beyond solid-state electronic devices. This review provides a comprehensive overview of the first generation biomimetic including their operating mechanisms, device architecture development, property characterizations. Despite its infancy, significant progress has been made in applications fields such DNA detection, drug delivery, circuits. Challenges prospects full exploitation for broad spectrum practical are also discussed.

Язык: Английский

---

Bioinspired carbon nanotube–based nanofluidic ionic transistor with ultrahigh switching capabilities for logic circuits

Science Advances, Год журнала: 2024, Номер 10(11)

Опубликована: Март 13, 2024

The voltage-gated ion channels, also known as ionic transistors, play substantial roles in biological systems and ion-ion selective separation. However, implementing the ultrafast switchable capabilities polarity switching of transistors remains a challenge. Here, we report nanofluidic transistor based on carbon nanotubes, which exhibits an on/off ratio 10

Язык: Английский

---

Ultralow Energy Consumption Angstrom-Fluidic Memristor

Nano Letters, Год журнала: 2023, Номер 23(24), С. 11662 - 11668

Опубликована: Дек. 8, 2023

The emergence of nanofluidic memristors has made a giant leap to mimic the neuromorphic functions biological neurons. Here, we report signaling using Angstrom-scale funnel-shaped channels with poly-l-lysine (PLL) assembled at nano-openings. We found frequency-dependent current–voltage characteristics under sweeping voltage, which represents diode in low frequencies, but it showed pinched current hysteresis as frequency increases. is strongly dependent on pH values weakly salt concentration. attributed entropy barrier PLL molecules entering and exiting Angstrom channels, resulting reversible voltage-gated open-close state transitions. successfully emulated synaptic adaptation Hebbian learning voltage spikes obtained minimum energy consumption 2–23 fJ each spike per channel. Our findings pave new way neuronal by consumption.

Язык: Английский

---

Exploring Types of Photonic Neural Networks for Imaging and Computing—A Review

Nanomaterials, Год журнала: 2024, Номер 14(8), С. 697 - 697

Опубликована: Апрель 17, 2024

Photonic neural networks (PNNs), utilizing light-based technologies, show immense potential in artificial intelligence (AI) and computing. Compared to traditional electronic networks, they offer faster processing speeds, lower energy usage, improved parallelism. Leveraging light’s properties for information could revolutionize diverse applications, including complex calculations advanced machine learning (ML). Furthermore, these address scalability efficiency challenges large-scale AI systems, potentially reshaping the future of computing research. In this comprehensive review, we provide current, cutting-edge insights into types PNNs crafted both imaging purposes. Additionally, delve intricate encounter during implementation, while also illuminating promising perspectives introduce field.

Язык: Английский

---

Nanofluidics

Nature Reviews Methods Primers, Год журнала: 2024, Номер 4(1)

Опубликована: Сен. 19, 2024

---

Bio‐inspired Two‐dimensional Nanofluidic Ionic Transistor for Neuromorphic Signal Processing

Angewandte Chemie International Edition, Год журнала: 2024, Номер 63(17)

Опубликована: Фев. 29, 2024

Voltage-gated ion channels prevalent in neurons play important roles generating action potential and information transmission by responding to transmembrane potential. Fabricating bio-inspired ionic transistors with ions as charge carriers will be crucial for realizing neuro-inspired devices brain-liking computing. Here, we reported a two-dimensional nanofluidic transistor based on MXene membrane sub-1 nm interlayer channels. By applying gating voltage the nanofluidic, generated active transistor, which is similar of neuron cells can effectively regulated changing parameters, e.g., thickness, composition, spacing. For symmetric high on/off ratio ~2000 achieved forming an depletion or accumulation zone, contingent sign An asymmetric PET/MXene-composited transitioned from ambipolar unipolar, resulting more sensitive gate characteristic low subthreshold swing 560 mV/decade. Furthermore, logic circuits, including "NOT", "NAND", "NOR" gate, were implemented neuromorphic signal processing successfully, provides promising pathway towards highly parallel, energy consumption, ion-based brain-like

Язык: Английский

---

Design of artificial biomimetic channels with Na+ permeation rate and selectivity potentially outperforming the natural sodium channel

Nano Research, Год журнала: 2024, Номер 17(9), С. 8638 - 8646

Опубликована: Июль 23, 2024

Язык: Английский

---

Nanofluidic Ionic Memristors

ACS Nano, Год журнала: 2024, Номер unknown

Опубликована: Июль 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.

Язык: Английский

---

Superspreading‐Confined Assembly of Oriented 2D MOF Membranes for Biomimetic Cation‐Regulated Ion Transport

Advanced Functional Materials, Год журнала: 2024, Номер 34(28)

Опубликована: Фев. 29, 2024

Abstract Inspired by biological channels, metal‐organic framework (MOF) membranes with sub‐nanometer sized channels offer an ideal platform to construct high‐performance artificial nanofluidic system. However, fabricating long‐range ordered MOF is still a significant challenge. Herein, superspreading‐confined assembly method developed prepare large‐scale oriented 2D (Zn‐TCPP (TCPP = meso‐tetra(4‐carboxyphenyl) porphine)) membranes. The superspreading of reactant liquid under oil phase form layer plays critical role in membrane formation, which provides dynamic confined space for layered Zn‐TCPP nanosheets. Accompanied solvent diffusion, such completely converted into <001>‐oriented controlled thickness. prepared exhibits distinct divalent cation (M x 2+ )‐regulated ion transport behavior as that demonstrated channels: K + flux can be precisely adjusted anchoring diverse M ions binding sites, appealing designing iontronics. Moreover, similar strategies employed fabricate other (such Hf‐BTB (BTB 1,3,5‐tris(4‐carboxyphenyl)benzene) and Ni‐TCPE (TCPE tetrakis(4‐carboxyphenyl)ethylene)), indicating the broad applicability this fabrication.

Язык: Английский

---