Reversible logic with a nanofluidic memristor DOI
Sergio Portillo, Javier Cervera, Salvador Mafé

et al.

Physical review. E, Journal Year: 2024, Volume and Issue: 110(6)

Published: Dec. 2, 2024

A multipore membrane with current-rectifying nanofluidic diodes exhibits memristive properties based on the surface-charge-regulated ionic transport. The neuromorphiclike potentiation of conductance by voltage pulses provides different functionalities that can be modulated not only amplitude and frequency driving oscillatory signal but also concentration pH values external solutions. This fact allows one to implement a broad range logical functions reconfiguration diodes. As proof concept, we show Boolean (and, nand, xor) reversible (feynman) obtained controlling chemical (pH concentration) electrical (voltage current) signals in an electrochemical cell. system displays some reminiscences channel biophysics signaling cell membranes suitable environment for sensing information processing iontronics hybrid devices. Model simulations explain experimental data explore future applications are included.

Language: Английский

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

et al.

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

Citations

4

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

et al.

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

Citations

4

Low-Cost and Stable Aramid Nanofiber Membranes for Osmotic Energy Conversion DOI
Yinghui Wang,

Mengyuan Peng,

Rujian Sun

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 19, 2025

Osmotic energy from mixing seawater and river water offers a promising alternative to traditional nonrenewable resources. Harvesting osmotic requires the design of ultrathin membranes with high ion selectivity for ionic conductance. However, lab-scale suffer high-cost, low mechanical properties, limited membrane area. Here, we demonstrate fabrication large-scale self-standing aramid nanofiber (ANF) thickness several micrometers through simple blade-coating method. The properties fabricated ANF were investigated in detail, which showed great chemical stability, surface charge density. application conversion was further explored, intact structure gave an output power density 0.83 W m–2 50-fold NaCl. Moreover, can reach up 7.63 when concentration gradient increased 500-fold. generator maintained capacity 15 days. This scalable low-cost provides opportunity harvest practical plants.

Language: Английский

Citations

0

Resistance-Restorable Nanofluidic Memristor and Neuromorphic Chip DOI
Ke Liu, Yong Wang, Miao Sun

et al.

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

Published: April 12, 2025

Resistance drift due to residual ions limits the accuracy of memristor-based neuromorphic computing. Here, we demonstrate nanofluidic memristors based on voltage-driven ion filling within Ångström channels, immersed in asymmetrically concentrated electrolyte solutions. Inspired by brain's waste clearance, restore conductance after 20,000 cycles removing trapped ions, paving way for endurance enhancement. The devices exhibit hour-long retention and ultralow energy consumption (∼0.2 fJ per spike channel). By tuning voltage, frequency, pH, emulate short-term synaptic plasticity. Finally, demonstrated first 4 × memristor array capable recognizing mathematical operators. Our work that fluidic are promising energy-efficient, long-retention, chips.

Language: Английский

Citations

0

Reconfigurable neuromorphic computing by a microdroplet DOI Creative Commons
Yu Ma, Yueke Niu, Ruochen Pei

et al.

Cell Reports Physical Science, Journal Year: 2024, Volume and Issue: 5(9), P. 102202 - 102202

Published: Sept. 1, 2024

Language: Английский

Citations

1

Reversible logic with a nanofluidic memristor DOI
Sergio Portillo, Javier Cervera, Salvador Mafé

et al.

Physical review. E, Journal Year: 2024, Volume and Issue: 110(6)

Published: Dec. 2, 2024

A multipore membrane with current-rectifying nanofluidic diodes exhibits memristive properties based on the surface-charge-regulated ionic transport. The neuromorphiclike potentiation of conductance by voltage pulses provides different functionalities that can be modulated not only amplitude and frequency driving oscillatory signal but also concentration pH values external solutions. This fact allows one to implement a broad range logical functions reconfiguration diodes. As proof concept, we show Boolean (and, nand, xor) reversible (feynman) obtained controlling chemical (pH concentration) electrical (voltage current) signals in an electrochemical cell. system displays some reminiscences channel biophysics signaling cell membranes suitable environment for sensing information processing iontronics hybrid devices. Model simulations explain experimental data explore future applications are included.

Language: Английский

Citations

1