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Artykuły w czasopismach na temat „Nanofluidic memristors”

Autor: Grafiati
Data publikacji: 2 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Sprawdź 29 najlepszych artykułów w czasopismach naukowych na temat „Nanofluidic memristors”.

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1

Rivera-Sierra, Gonzalo, Patricio Ramirez, Juan Bisquert, and Agustín Bou. "Relaxation Time of Multipore Nanofluidic Memristors for Neuromorphic Applications." Journal of the American Chemical Society xxx, no. xxx (2025): A—J. https://doi.org/10.1021/jacs.5c04903.

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Memristors have been positioned at the forefront of the purposes for carrying out neuromorphic computation. Their tunable conductance properties enable the imitation of synaptic behavior. Nanofluidic memristors made of multipore membranes have shown their memristic properties and are candidate devices for liquid neuromorphic systems. Such properties are visible through an inductive hysteresis in the current–voltage sweeps, which is then confirmed by the inductive characteristics in impedance spectroscopy measurements. The dynamic behavior of memristors is largely determined by a voltage-
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2

Ismail, Abdulghani, and Boya Radha. "Mechano-ionic memristors for nanofluidic logic." Nature Electronics 7, no. 4 (2024): 258–59. http://dx.doi.org/10.1038/s41928-024-01150-y.

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3

Robin, P., T. Emmerich, A. Ismail, et al. "Long-term memory and synapse-like dynamics in two-dimensional nanofluidic channels." Science 379, no. 6628 (2023): 161–67. http://dx.doi.org/10.1126/science.adc9931.

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Fine-tuned ion transport across nanoscale pores is key to many biological processes, including neurotransmission. Recent advances have enabled the confinement of water and ions to two dimensions, unveiling transport properties inaccessible at larger scales and triggering hopes of reproducing the ionic machinery of biological systems. Here we report experiments demonstrating the emergence of memory in the transport of aqueous electrolytes across (sub)nanoscale channels. We unveil two types of nanofluidic memristors depending on channel material and confinement, with memory ranging from minutes
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4

Robin, Paul, Nikita Kavokine, and Lydéric Bocquet. "Modeling of emergent memory and voltage spiking in ionic transport through angstrom-scale slits." Science 373, no. 6555 (2021): 687–91. http://dx.doi.org/10.1126/science.abf7923.

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Recent advances in nanofluidics have enabled the confinement of water down to a single molecular layer. Such monolayer electrolytes show promise in achieving bioinspired functionalities through molecular control of ion transport. However, the understanding of ion dynamics in these systems is still scarce. Here, we develop an analytical theory, backed up by molecular dynamics simulations, that predicts strongly nonlinear effects in ion transport across quasi–two-dimensional slits. We show that under an electric field, ions assemble into elongated clusters, whose slow dynamics result in hysteret
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5

Bu, Yang, Zisun Ahmed, and Levent Yobas. "A nanofluidic memristor based on ion concentration polarization." Analyst 144, no. 24 (2019): 7168–72. http://dx.doi.org/10.1039/c9an01561b.

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6

Sheng, Qian, Yanbo Xie, Jun Li, Xinwei Wang, and Jianming Xue. "Transporting an ionic-liquid/water mixture in a conical nanochannel: a nanofluidic memristor." Chemical Communications 53, no. 45 (2017): 6125–27. http://dx.doi.org/10.1039/c7cc01047h.

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7

Vargas, J. V. C. "EDITORIAL." Revista de Engenharia Térmica 11, no. 1-2 (2012): 02. http://dx.doi.org/10.5380/reterm.v11i1-2.61972.

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Around the end of the twentieth century, nanotechnology appeared to be the new breakthrough, after the internet, for example. At that time, more efficient and affordable solar cells, green chemistry, quantum computing, lightweight composite aircraft, cell-size robots for medical applications were expected to be available soon. When the financial milestones did not become real, investors got disappointed and decided to rethink their plans. Yet today the perspectives are surprisingly upbeat. Currently, it is well known that restructuring matter at the nanoscale chemical and thermophysical proper
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8

Xu, Guoheng, Miliang Zhang, Tingting Mei, Wenchao Liu, Li Wang, and Kai Xiao. "Nanofluidic Ionic Memristors." ACS Nano, July 18, 2024. http://dx.doi.org/10.1021/acsnano.4c06467.

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9

Zhou, Xi, Yuanyuan Zong, Yongchang Wang, et al. "Nanofluidic memristor by elastic deformation of nanopores with nanoparticles adsorption." National Science Review, August 11, 2023. http://dx.doi.org/10.1093/nsr/nwad216.

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Abstract The memristor is the building blocks for neuromorphic computing. Hereby we reported a new type of nanofluidic memristor, by the principle of elastic strain on the polymer nanopores. With nanoparticles absorbed at the wall of a single conical polymer nanopore, we found pinched hysteresis of a current within scanning frequency between 0.01Hz and 0.1Hz, but switching to a diode below 0.01Hz and a resistor above 0.1Hz. We attributed the current hysteresis to the elastic strain at the tip side of the nanopore, caused by electrical force on the particles adsorbed at the inner wall surface.
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10

Portillo, Sergio, José A. Manzanares, Patricio Ramirez, Juan Bisquert, Salvador Mafe, and Javier Cervera. "pH-Dependent Effects in Nanofluidic Memristors." Journal of Physical Chemistry Letters, July 24, 2024, 7793–98. http://dx.doi.org/10.1021/acs.jpclett.4c01610.

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11

Ramirez, Patricio, Vicente Gómez, Javier Cervera, Salvador Mafe, and Juan Bisquert. "Synaptical Tunability of Multipore Nanofluidic Memristors." Journal of Physical Chemistry Letters, November 30, 2023, 10930–34. http://dx.doi.org/10.1021/acs.jpclett.3c02796.

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12

Duan, Zu-Ming, Yi-Tong Xu, Zheng Li, Jian-Xiang Pang, Jing-Juan Xu, and Wei-Wei Zhao. "Neuromorphic Nanofluidic Sense Digitalization." Angewandte Chemie, November 21, 2024. http://dx.doi.org/10.1002/ange.202420602.

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Nanofluidic memristors have recently been reshaped into artificial synapses capable of mimicking many fundamental neurosynaptic patterns, while sense digitalization has been increasingly explored to link the neuromorphic devices with external equipment. By inspiration of dopaminergic nerve, here a nanofluidic nerve with sense digitalization is devised by engineering a dopamine (DA)‐specific nanofluidic synapse as mediated by PC‐12 cells to manage the robotic arm. Different from previous neuromorphic perception of DA via redox reaction, the aptamer‐based perception here is based on biological D
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13

Duan, Zu-Ming, Yi-Tong Xu, Zheng Li, Jian-Xiang Pang, Jing-Juan Xu, and Wei-Wei Zhao. "Neuromorphic Nanofluidic Sense Digitalization." Angewandte Chemie International Edition, November 21, 2024. http://dx.doi.org/10.1002/anie.202420602.

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Nanofluidic memristors have recently been reshaped into artificial synapses capable of mimicking many fundamental neurosynaptic patterns, while sense digitalization has been increasingly explored to link the neuromorphic devices with external equipment. By inspiration of dopaminergic nerve, here a nanofluidic nerve with sense digitalization is devised by engineering a dopamine (DA)‐specific nanofluidic synapse as mediated by PC‐12 cells to manage the robotic arm. Different from previous neuromorphic perception of DA via redox reaction, the aptamer‐based perception here is based on biological D
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14

Xie, Boyang, Tianyi Xiong, Weiqi Li, et al. "Perspective on Nanofluidic Memristors: from Mechanism to Application." Chemistry – An Asian Journal, August 22, 2022. http://dx.doi.org/10.1002/asia.202200682.

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15

Ramirez, Patricio, Sergio Portillo, Javier Cervera, et al. "Neuromorphic responses of nanofluidic memristors in symmetric and asymmetric ionic solutions." Journal of Chemical Physics 160, no. 4 (2024). http://dx.doi.org/10.1063/5.0188940.

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We show that ionic conduction properties of a multipore nanofluidic memristor can be controlled not only by the amplitude and frequency of an external driving signal but also by chemical gating based on the electrolyte concentration, presence of divalent and trivalent cations, and multi-ionic systems in single and mixed electrolytes. In addition, we describe the modulation of current rectification and hysteresis phenomena, together with neuromorphic conductance responses to voltage pulses, in symmetric and asymmetric external solutions. In our case, memristor conical pores act as nanofluidic d
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16

Tang, Pei, Pengwei Jing, Zhiyuan Luo, et al. "Constructing a supercapacitor-memristor through nonlinear ion transport in MOF nanochannels." National Science Review, September 11, 2024. http://dx.doi.org/10.1093/nsr/nwae322.

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Abstract The coexistence and coupling of capacitive and memristive effects have been an important subject of scientific interest. While the capacitive effect in memristors has been extensively studied, the reciprocal scenario of the memristive effect in capacitors remains unexplored. In this study, we introduce a supercapacitor-memristor (CAPistor) concept, which is constructed by leveraging non-linear ion transport within the pores of a metal-organic framework-zeolitic imidazolate framework (ZIF-7). Within the nanochannels of ZIF-7 electrode in an aqueous pseudocapacitor, the anionic species
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17

Rivera-Sierra, Gonzalo, Patricio Ramirez, Juan Bisquert, and Agustín Bou. "Relaxation Time of Multipore Nanofluidic Memristors for Neuromorphic Applications." Journal of the American Chemical Society, May 11, 2025. https://doi.org/10.1021/jacs.5c04903.

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18

Cervera, Javier, Sergio Portillo, Patricio Ramirez, and Salvador Mafe. "Modeling of memory effects in nanofluidic diodes." Physics of Fluids 36, no. 4 (2024). http://dx.doi.org/10.1063/5.0204219.

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Nanofluidic diodes and ionic solutions find application in electrochemical circuits for information processing, controlled release, and signal conversion in hybrid devices. Here, we describe a physical model that accounts for the memory effects observed in conical nanopores in terms of the driving signal and ionic solution characteristics. The concepts invoked describe the device operation on the basis of the electrical interaction between the pore surface charges and the nanoconfined ionic solution. The physical insights provided can explain the experimental dependence of the nanofluidic tuna
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19

Laucirica, Gregorio, María Eugenia Toimil-Molares, Waldemar Alejandro Marmisollé, and Omar Azzaroni. "Unlocking Nanoprecipitation: A Pathway to High Reversibility in Nanofluidic Memristors." ACS Applied Materials & Interfaces, October 18, 2024. http://dx.doi.org/10.1021/acsami.4c11522.

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20

Li, Zhuangzhuang, Ya Lin, Xuanyu Shan, et al. "Optogenetics‐Inspired Nanofluidic Artificial Dendrite with Spatiotemporal Integration Functions." Advanced Materials, May 16, 2025. https://doi.org/10.1002/adma.202502438.

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AbstractDendrites play an essential role in processing functions by facilitating the integration of spatial and temporal information in biological system. Nanofluidic memristors, which harness ions for signal transmission within electrolyte solutions, closely resemble biological neuronal ion channels and hold the potential for the development of biorealistic neuromorphic devices. Herein, inspired by the optogenetic technique that utilized light to tune the ions dynamic, an optical‐controlled nanofluidic artificial dendrite by embedding layered graphene oxide (GO) within a polydimethylsiloxane
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21

Lv, Honglin, and Yin Zhang. "Heterojunction Nanofluidic Memristors based on Peptide Chain Valves for Neuromorphic applications." Biosensors and Bioelectronics, April 2025, 117496. https://doi.org/10.1016/j.bios.2025.117496.

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22

Jouveshomme, Simon, Mathieu Lizée, Paul Robin, and Lyderic Bocquet. "Multiple ionic memories in asymmetric nanochannels revealed by mem-spectrometry." New Journal of Physics, June 19, 2025. https://doi.org/10.1088/1367-2630/ade61b.

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Abstract Recently discovered nanofluidic memristors, have raised promises for the development of iontronics
and neuromorphic computing with ions. Ionic memory effects are related to ion dynamics inside
nanochannels, with timescales associated with the manifold physicochemical phenomena occurring
at confined interfaces. Here, we explore experimentally the frequency-dependent current-voltage
response of model nanochannels – namely glass nanopipettes – to investigate memory effects in ion
transport. This characterization, which we refer to as mem-spectromet
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23

Nikitin, Daniil, Hynek Biederman, and Andrei Choukourov. "From Solid to Fluid: Novel Approaches in Neuromorphic Engineering." Recent Patents on Nanotechnology 19 (October 18, 2024). http://dx.doi.org/10.2174/0118722105305259240919074119.

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Neuromorphic engineering is rapidly developing as an approach to mimicking processes in brains using artificial memristors, devices that change conductivity in response to the electrical field (resistive switching effect). Memristor-based neuromorphic systems can overcome the existing problems of slow and energy-inefficient computing that conventional processors face. In the Introduction, the basic principles of memristor operation and its applications are given. The history of switching in sandwich structures and granular metals is reviewed in the Historical Overview. Particular attention is
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24

Portillo, Sergio, Javier Cervera, Salvador Mafe, and Patricio Ramirez. "Reversible logic with a nanofluidic memristor." Physical Review E 110, no. 6 (2024). https://doi.org/10.1103/physreve.110.065101.

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25

Liu, Ke, Yongchang Wang, Miao Sun, Jiajia Lu, Deli Shi, and Yanbo Xie. "Resistance-Restorable Nanofluidic Memristor and Neuromorphic Chip." Nano Letters, April 12, 2025. https://doi.org/10.1021/acs.nanolett.5c00315.

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26

Zhang, Miliang, Guoheng Xu, Hongjie Zhang, and Kai Xiao. "Nanofluidic Volatile Threshold Switching Ionic Memristor: A Perspective." ACS Nano, March 14, 2025. https://doi.org/10.1021/acsnano.4c17760.

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27

Xiao, Yike, Weiling Sun, Cheng Gao, et al. "Neural Functions Enabled by a Polarity-Switchable Nanofluidic Memristor." Nano Letters, September 30, 2024. http://dx.doi.org/10.1021/acs.nanolett.4c03449.

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28

Noh, Yechan, and Alex Smolyanitsky. "Synaptic-like plasticity in 2D nanofluidic memristor from competitive bicationic transport." Science Advances 10, no. 45 (2024). http://dx.doi.org/10.1126/sciadv.adr1531.

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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 of synapses is considered one of the key features contributing to the superior energy efficiency of the brain. Here, we use molecular dynamics simulations to demonstrate synaptic-like plasticity in a subnanoporous two-dimensional membrane. We show that a train of voltage spikes dynamically modifies the membrane’s ionic permeability in a process involving competitive bicationic transport. This process is show
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29

Ling, Yixin, Lejian Yu, Ziwen Guo, et al. "Single-Pore Nanofluidic Logic Memristor with Reconfigurable Synaptic Functions and Designable Combinations." Journal of the American Chemical Society, May 16, 2024. http://dx.doi.org/10.1021/jacs.4c01218.

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