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相关论文: Modulation of Memristive Characteristics by Dynami…

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Using molecular dynamics simulations, we show that, when subject to a periodic external electric field, a nanopore in ionic solution acts as a capacitor with memory (memcapacitor) at various frequencies and strengths of the electric field.…

软凝聚态物质 · 物理学 2010-07-20 Matt Krems , Yuriy V. Pershin , Massimiliano Di Ventra

Memristors have been positioned at the forefront of the purposes for carrying out neuromorphic computation. Their tuneable conductivity properties enable the imitation of synaptic behaviour. Multipore nanofluidic memristors have shown their…

应用物理 · 物理学 2024-09-17 Agustin Bou , Patricio Ramirez , Juan Bisquert

In living organisms, information is processed in interconnected symphonies of ionic currents spiking through protein ion channels. As a result of dynamically switching their conductive states, ion channels exhibit a variety of…

介观与纳米尺度物理 · 物理学 2024-01-15 Yechan Noh , Alex Smolyanitsky

A hitherto unexploited characteristic feature of emerging iontronic devices for information processing is the intrinsic mobility of the medium (water) of dissolved ions in aqueous electrolytes, which therefore not only respond to voltage…

软凝聚态物质 · 物理学 2024-04-24 A. Barnaveli , T. M. Kamsma , W. Q. Boon , R. van Roij

Iontronics is a burgeoning paradigm that employs ions in solution as information carriers for sensing and computing, e.g., in neuromorphic devices. The fundamentally different working principle as compared to electronics requires novel…

While most neuromorphic systems are based on nanoscale electronic devices, nature relies on ions for energy-efficient information processing. Therefore, finding memristive nanofluidic devices is a milestone toward realizing electrolytic…

Dynamic reconfiguration of charge carriers in confined ion-channels under electrical stimulation produces memory effects, where the internal resistance depends on history of the electric field. Vermiculite nanofluidic devices harness this…

Brain-inspired computing has the potential to revolutionise the current von Neumann architecture, advancing machine learning applications. Signal transmission in the brain relies on voltage-gated ion channels, which exhibit the electrical…

Ionic current rectification (ICR) of charged conical nanopores has various applications in fields including nanofluidics, bio-sensing, and energy conversion, whose function is closely related to the dynamic response of nanopores. The…

化学物理 · 物理学 2024-10-29 Zhe Liu , Long Ma , Hongwen Zhang , Jiakun Zhuang , Jia Man , Zuzanna S. Siwy , Yinghua Qiu

Advanced neural interfaces mediate a bio-electronic link between the nervous system and microelectronic devices, bearing great potential as innovative therapy for various diseases. Spikes from a large number of neurons are recorded leading…

新兴技术 · 计算机科学 2016-11-30 Isha Gupta , Alexantrou Serb , Ali Khiat , Ralf Zeitler , Stefano Vassanelli , Themistoklis Prodromakis

Nanofluidic memristive devices work with nanoscale pores and ions dissolved in water, which harness the ionic memory effect aiming to store and process information. These devices share the same charge carriers as biological systems and…

Reconfigurable memristors featuring neural and synaptic functions hold great potential for neuromorphic circuits by simplifying system architecture, cutting power consumption, and boosting computational efficiency. Their additive…

We extend the notion of memristive systems to capacitive and inductive elements, namely capacitors and inductors whose properties depend on the state and history of the system. All these elements show pinched hysteretic loops in the two…

介观与纳米尺度物理 · 物理学 2009-11-21 Massimiliano Di Ventra , Yuriy V. Pershin , Leon O. Chua

Nanoscale metal oxide memristors have potential in the development of brain-inspired computing systems that are scalable and efficient1-3. In such systems, memristors represent the native electronic analogues of the biological synapses.…

介观与纳米尺度物理 · 物理学 2016-12-21 Cheng-Chih Hsieh , Anupam Roy , Yao-Feng Chang , Davood Shahrjerdi , Sanjay K. Banerjee

It is now widely accepted that memristive devices are perfect candidates for the emulation of biological synapses in neuromorphic systems. This is mainly because of the fact that like the strength of synapse, memristance of the memristive…

神经与进化计算 · 计算机科学 2012-11-26 Farnood Merrikh-Bayat , Saeed Bagheri Shouraki , Iman Esmaili Paeen Afrakoti

Memristive reservoirs draw inspiration from a novel class of neuromorphic hardware known as nanowire networks. These systems display emergent brain-like dynamics, with optimal performance demonstrated at dynamical phase transitions. In…

无序系统与神经网络 · 物理学 2023-06-23 Ruomin Zhu , Jason K. Eshraghian , Zdenka Kuncic

Memristors that mimic brain functions are crucial for energy-efficient neuromorphic devices. Ion channels that emulate biological synapses are still in the early stages of development, especially the tunability of memory states. Here, we…

材料科学 · 物理学 2024-12-09 Dhal Biswabhusan , Puzari Animesh , Li-Hsien Yeh , Kalon Gopinadhan

Nanopores that exhibit ionic current rectification (ICR) behave like diodes, such that they transport ions more efficiently in one direction than the other. Conical nanopores have been shown to rectify ionic current, but only those with at…

化学物理 · 物理学 2022-06-08 Long Ma , Zhongwu Li , Zhishan Yuan , Chuanzhen Huang , Zuzanna S. Siwy , Yinghua Qiu

The memristive device is one of the basic elements of novel, brain-inspired, fast, and energy-efficient information processing systems in which there is no separation between memorization and information analysis functions. Since the first…

Fine-tuned ion transport across nanoscale pores is key to many biological processes such as neurotransmission. Recent advances have enabled the confinement of water and ions to two dimensions, unveiling transport properties unreachable at…

软凝聚态物质 · 物理学 2023-01-18 P. Robin , T. Emmerich , A. Ismail , A. Niguès , Y. You , G. -H. Nam , A. Keerthi , A. Siria , A. K. Geim , B. Radha , L. Bocquet
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