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Related papers: Brain-inspired computing with fluidic iontronic na…

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Conical microfluidic channels filled with electrolytes exhibit volatile memristive behavior, offering a promising platform for energy-efficient, neuromorphic computing. Here, we integrate these iontronic channels as additional nonlinear…

Soft Condensed Matter · Physics 2026-04-08 Nex C. X. Stuhlmüller , René van Roij , Marjolein Dijkstra

Fluidic iontronics is emerging as a distinctive platform for implementing neuromorphic circuits, characterized by its reliance on the same aqueous medium and ionic signal carriers as the brain. Drawing upon recent theoretical advancements…

Soft Condensed Matter · Physics 2024-06-03 T. M. Kamsma , E. A. Rossing , C. Spitoni , R. van Roij

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…

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…

Mesoscale and Nanoscale Physics · Physics 2024-01-15 Yechan Noh , Alex Smolyanitsky

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…

Inspired by the brain, we present a physical alternative to traditional digital neural networks -- a microfluidic network in which nodes are connected by conical, electrolyte-filled channels acting as memristive iontronic synapses. Their…

Soft Condensed Matter · Physics 2025-11-07 Monica Conte , René van Roij , Marjolein Dijkstra

Experiments have shown that the conductance of conical channels, filled with an aqueous electrolyte, can strongly depend on the history of the applied voltage. These channels hence have a memory and are promising elements in brain-inspired…

Soft Condensed Matter · Physics 2023-06-28 T. M. Kamsma , W. Q. Boon , T. ter Rele , C. Spitoni , R. van Roij

Conical channels filled with an aqueous electrolyte have been proposed as promising candidates for iontronic neuromorphic circuits. This is facilitated by a novel analytical model for the internal channel dynamics [Kamsma et al.,…

Biological Physics · Physics 2024-01-31 T. M. Kamsma , W. Q. Boon , C. Spitoni , R. van Roij

Nonlinear waves have played a historical role in laying the foundations of the science of complexity. Recently, they have also allowed the development of a new reservoir computing paradigm: neuromorphic computing by waves. In these systems,…

Emerging Technologies · Computer Science 2023-02-07 Giulia Marcucci , Piergiorgio Caramazza , Shamit Shrivastava

Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics and memory timescales that intrinsically align well with…

Soft Condensed Matter · Physics 2026-01-22 T. M. Kamsma , Y. Gu , C. Spitoni , M. Dijkstra , Y. Xie , R. van Roij

Nanofluidics, the field interested in flows at the smallest scales, has grown at a fast pace, reaching an ever finer control offluidic and ionic transport at the molecular level. Still, artificial pores are far from reaching the wealth of…

Soft Condensed Matter · Physics 2023-05-10 Paul Robin , Lydéric Bocquet

Reliable and controllable switches are crucial in nanofluidics and iontronics. Ion channels in nature serve as a rich source of inspiration due to their intricate mechanisms modulated by stimuli like pressure, temperature, chemicals, and…

Mesoscale and Nanoscale Physics · Physics 2023-10-17 Gonçalo Paulo , Alberto Gubbiotti , Giovanni Di Muccio , Alberto Giacomello

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…

Soft Condensed Matter · Physics 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

Fluidic iontronics offer a unique capability for emulating the chemical processes found in neurons. We extract multiple distinct chemically regulated synaptic features from an experimentally accessible conical microfluidic channel carrying…

Soft Condensed Matter · Physics 2026-02-13 T. M. Kamsma , M. S. Klop , W. Q. Boon , C. Spitoni , B. Rueckauer , R. van Roij

Neuromorphic computing aims to revolutionize large-scale data processing by developing efficient methods and devices inspired by neural networks. Among these, the control of magnetism through ion migration has emerged as a promising…

Neural networks have revolutionized the area of artificial intelligence and introduced transformative applications to almost every scientific field and industry. However, this success comes at a great price; the energy requirements for…

The human brain, with its energy-efficient and massively parallel architecture seamlessly integrates memory and computation. Its topology and functionality serve as the inspiration for the field of neuromorphic computing. Realizing…

Recent advance in nanotechnology has led to rapid advances in nanofluidics, which has been established as a reliable means for a wide variety of applications, including molecular separation, detection, crystallization and biosynthesis.…

Quantitative Methods · Quantitative Biology 2015-03-03 Jin Kyoung Park , Kelin Xia , Guo-Wei We

Underwater environments impose severe constraints on conventional imaging systems and demand solutions that balance high-quality sensing with strict resource efficiency. While emerging event cameras offer a promising alternative, their…

Computer Vision and Pattern Recognition · Computer Science 2026-05-14 Pei Zhang , Yunkai Liang , Kaiqiang Wang

Specific molecular interactions underlie unexpected and useful phenomena in nanofluidic systems, but require descriptions that go beyond traditional macroscopic hydrodynamics. In this letter, we demonstrate how equilibrium molecular…

Mesoscale and Nanoscale Physics · Physics 2023-06-07 Phillip Helms , Anthony R. Poggioli , David T. Limmer
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