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Modulating ion transport through nanoporous membranes is critical to many important chemical and biological separation processes. The corresponding transport timescales, however, are often too long to capture accurately using conventional…

Statistical Mechanics · Physics 2022-12-23 Brian A Shoemaker , Tiago S Domingues , Amir Haji-Akbari

Amorphous insulators have localized wave functions that decay with the distance $r$ following exp($-r/\zeta$). Since nanoscale conduction is not excluded at $r<\zeta$, one may use amorphous insulators and take advantage of their size effect…

Mesoscale and Nanoscale Physics · Physics 2019-02-21 Yang Lu , I-Wei Chen

Electron transport in nanoscale devices can often result in nontrivial spatial patterns of voltage and current that reflect a variety of physical phenomena, particularly in nonlocal transport regimes. While numerous techniques have been…

Mirroring their role in electrical and optical physics, two-dimensional crystals are emerging as novel platforms for fluid separations and water desalination, which are hydrodynamic processes that occur in nanoscale environments. For…

Statistical Mechanics · Physics 2016-05-11 Steven E. Strong , Joel D. Eaves

Nanofluidic systems exhibit transport characteristics that have made technological marvels such as desalination, energy harvesting, and highly sensitive biomolecule sensing possible by virtue of their ability to influence small currents due…

Fluid Dynamics · Physics 2023-08-22 John Sebastian , Yoav Green

In this article we address the study of ion charge transport in the biological channels separating the intra and extracellular regions of a cell. The focus of the investigation is devoted to including thermal driving forces in the…

Numerical Analysis · Mathematics 2015-04-24 Riccardo Sacco , Fabio Manganini , Joseph W. Jerome

A model is presented for predicting the capture of magnetic micro/nano-particles in a bioseparation microsystem. This bioseparator consists of an array of conductive elements embedded beneath a rectangular microfluidic channel. The magnetic…

Biological Physics · Physics 2007-05-23 E. P. Furlani , Y. Sahoo , K. C. Ng , J. C. Wortman , T. E. Monk

Ionic liquids constrained at interfaces or restricted in subnanometric pores are increasingly employed in modern technologies, including energy applications. Understanding the details of their behavior in these conditions is therefore…

Materials Science · Physics 2018-09-25 Stefano Mossa

We characterize the electrokinetic flow due to the transport of electrolytes embedded in nanochannels of varying cross-section with inhomogeneous slip on their walls, modeled as an effective slip length on the channel wall. We show that,…

Fluid Dynamics · Physics 2025-04-10 F. Carusela , J. Harting , P. Malgaretti

Biological synapses store multiple memories on top of each other in a palimpsest fashion and at different timescales. Palimpsest consolidation is facilitated by the interaction of hidden biochemical processes that govern synaptic efficacy…

Neurons and Cognition · Quantitative Biology 2021-09-28 Christos Giotis , Alexander Serb , Vasileios Manouras , Spyros Stathopoulos , Themis Prodromakis

We present a coarse-grained model for ionic surfactants in explicit aqueous solutions, and study by computer simulation both the impact of water content on the morphology of the system, and the consequent effect of the formed interfaces on…

Soft Condensed Matter · Physics 2015-03-16 Samuel Hanot , Sandrine Lyonnard , Stefano Mossa

Transport of water through ion-exchange membranes is of importance both for electrodialysis (ED) and reverse electrodialysis (RED). In this work, we extend our previous theory [J. Membrane Sci., 510, (2016) 370-381] and include water…

Chemical Physics · Physics 2019-12-24 M. Tedesco , H. V. M. Hamelers , P. M. Biesheuvel

Water nanoconfinement is known to occur inside material void spaces, such as 2D confinement between surfaces, 1D confinement inside nanotubes, and variable-dimension confinement inside nanoporous materials. In the present work we…

Applied Physics · Physics 2025-12-23 Bruno H. S. Mendonça , Elizane E. de Moraes , Hélio Chacham

The nature of particle and entropy flow between two superfluids is often understood in terms of reversible flow carried by an entropy-free, macroscopic wavefunction. While this wavefunction is responsible for many intriguing properties of…

Solid state ionic conductors are good candidates for the next generation of nonvolatile computer memory elements. Such devices have to show reproducible resistance switching at reasonable voltage and current values even if scaled down to…

Mesoscale and Nanoscale Physics · Physics 2011-04-25 A. Geresdi , A. Halbritter , A. Gyenis , P. Makk , G. Mihály

Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nanoscale memory devices as synaptic elements. Although there…

Neural and Evolutionary Computing · Computer Science 2014-07-15 Sukru Burc Eryilmaz , Duygu Kuzum , Rakesh Jeyasingh , SangBum Kim , Matthew BrightSky , Chung Lam , H. -S. Philip Wong

The rate of water flow through hydrophobic nanocapillaries is greatly enhanced as compared to that expected from macroscopic hydrodynamics. This phenomenon is usually described in terms of a relatively large slip length, which is in turn…

Mesoscale and Nanoscale Physics · Physics 2016-03-22 Mehdi Neek-Amal , F. M. Peeters , I. V. Grigorieva , A. K. Geim

The object of this article is to review the development of ultrahigh-density, nanoscale data storage, i.e., nanostorage. As a fundamentally new type of storage system, the recording mechanisms of nanostorage may be completely different to…

Materials Science · Physics 2007-05-23 J. C. Li

We revisit the theory of ion transport in parallel-plate channels and also discuss how the wettability of a solid and the mobility of adsorbed surface charges impact the transport of ions. It is shown that depending on the ratio of the…

Soft Condensed Matter · Physics 2021-09-29 Olga I. Vinogradova , Elena F. Silkina , Evgeny S. Asmolov

Memories are stored, retained, and recollected through complex, coupled processes operating on multiple timescales. To understand the computational principles behind these intricate networks of interactions we construct a broad class of…

Neurons and Cognition · Quantitative Biology 2015-07-29 Marcus K. Benna , Stefano Fusi
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