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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

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…

Nanofluidic memristors promise brain-inspired information processing with ions, yet their microscopic origin remains debated. So far, ionic memory has been attributed to ion-specific interactions, dynamic wetting, chemical reactions or…

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…

Recent advances in nanofluidics have enabled the confinement of water down to a single molecular layer. Such monolayer electrolytes show promise in achieving bio-inspired functionalities through molecular control of ion transport. However,…

Soft Condensed Matter · Physics 2021-09-08 Paul Robin , Nikita Kavokine , Lydéric Bocquet

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…

Materials Science · Physics 2026-04-22 Wenzhe Zhou , Dongjiao Ge , Ao Zhang , Jincheng Xu , Yu Ji , Yiran Gong , Wenchang Zhang , Jidong Li , Li Lin , Zhiping Xu , Pengzhan Sun

The brain's remarkable and efficient information processing capability is driving research into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels are emerging as an exciting platform for neuromorphic…

Soft Condensed Matter · Physics 2024-04-26 T. M. Kamsma , J. Kim , K. Kim , W. Q. Boon , C. Spitoni , J. Park , R. van Roij

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…

Mesoscale and Nanoscale Physics · Physics 2024-11-11 Yechan Noh , Alex Smolyanitsky

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

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…

Materials Science · Physics 2024-12-09 Dhal Biswabhusan , Puzari Animesh , Li-Hsien Yeh , Kalon Gopinadhan

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…

Soft Condensed Matter · Physics 2024-04-24 A. Barnaveli , T. M. Kamsma , W. Q. Boon , R. van Roij

Nanofluidic transport is ubiquitous in natural systems from extra-cellular communication in biology to geological phenomena, and promotes the emergence of new technologies such as energy harvesting and water desalination. While experimental…

Soft Condensed Matter · Physics 2026-03-23 Aymeric Allemand , Anne-Laure Biance , Christophe Ybert , Laurent Joly

Hydroxide ion transport in anion-exchange membranes fundamentally limits the efficiency of alkaline water electrolysis for green hydrogen production, yet the atomic-scale transport mechanisms remain poorly understood due to the…

Molecular Dynamics simulations of water molecules in nanometre sized cylindrical channels connecting two reservoirs show that the permeation of water is very sensitive to the channel radius and to electric polarization of the embedding…

Soft Condensed Matter · Physics 2009-11-07 Rosalind Allen , Simone Melchionna , Jean-Pierre Hansen

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.…

Soft Condensed Matter · Physics 2010-07-20 Matt Krems , Yuriy V. Pershin , Massimiliano Di Ventra

Polymer materials with low water uptake exhibit a highly heterogeneous interior, characterized by water clusters in the form of nanodroplets and nanochannels. Here, based on our recent insights from computer simulations, we argue that water…

Soft Condensed Matter · Physics 2022-06-16 Matej Kanduč , Rafael Roa , Won Kyu Kim , Joachim Dzubiella

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

Ion transport through nanopores permeates through many areas of science and technology, from cell behavior to sensing and separation to catalysis and batteries. Two-dimensional materials, such as graphene, molybdenum disulfide (MoS$_2$),…

Mesoscale and Nanoscale Physics · Physics 2019-07-19 Subin Sahu , Michael Zwolak

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…

Applied Physics · Physics 2024-09-17 Agustin Bou , Patricio Ramirez , Juan Bisquert

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…

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