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Hydrophilic nanotubes formed by lipid molecules have potential applications as platforms for chemical or biological events occurring in an attolitre volume inside a hollow cylinder. Here, we have integrated the lipid nanotubes (LNTs) by…

Biological systems have been theoretically predicted to support phononic topological wave-modes, similar to the ones existing in meta-materials. The existing methods to measure these modes, however cannot be applied to biological systems;…

Biological Physics · Physics 2023-03-03 Ssu-Ying Chen , Arooj Aslam , David J. Apigo , Sagnik Basuray , Camelia Prodan

Cells offer numerous inspiring examples where proteins and membranes combine to form complex structures that are key to intracellular compartmentalization, cargo transport, and specialization of cell morphology. Despite this wealth of…

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…

Encapsulation of chemicals using polymer membranes enables to control their transport and delivery for applications such as agrochemistry or detergency. To rationalize the design of polymer capsules, it is necessary to understand how the…

Soft Condensed Matter · Physics 2018-12-18 Corentin Tregouët , Thomas Salez , Mathilde Reyssat , Cécile Monteux

We study the effect of volumetric constraints on the structure and electronic transport properties of distilled water in a nanopore with embedded electrodes. Combining classical molecular dynamics simulations with quantum scattering theory,…

Soft Condensed Matter · Physics 2014-01-30 P. Boynton , M. Di Ventra

While experiments with one or two quantum emitters have become routine in various laboratories, scalable platforms for efficient optical coupling of many quantum systems remain elusive. To address this issue, we report on chip-based systems…

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

Electrical conductivity is an inherent property of a hydrophobic porous media (HPM) and has critical applications. This research aims to provide a solution for predicting the electrical conductivity of nanoscale HPM with heterogeneous pore…

Soft Condensed Matter · Physics 2021-05-31 Zhongliang Chen , Xiaohu Dong , Zhangxin Chen , Marc-Olivier Coppens

Ion transport in extremely narrow nanochannels has gained increasing interest in recent years due to its unique physical properties, and the technological advances that allow us to study them. It is tempting to approach this regime with the…

Soft Condensed Matter · Physics 2020-02-11 Amir Levy , J. Pedro de Souza , Martin Z Bazant

We investigate through non-equilibrium Molecular Dynamics simulations the structure and flow of fluids in functionalized nanopores. The nanopores are modeled as cylindrical structures with solvophilic and solvophobic sites. Two fluids are…

Soft Condensed Matter · Physics 2016-05-17 José Rafael Bordin , Marcia C. Barbosa

Recently, the implementation of plasmonic nanoantennas has opened new possibilities to investigate the nanoscale dynamics of individual biomolecules in living cell. However, studies have yet been restricted to single molecular species as…

We demonstrate electronic sensing of DNA nanostar (NS) condensate. Specifically, we use electrokinetic nanofluidics to observe and interpret how temperature-induced NS condensation affects nanochannel current. The increase in current upon…

Soft Condensed Matter · Physics 2025-05-16 Kuang-Hua Chou , Alexander Eden , David E. Huber , Sumita Pennathur , Deborah Kuchnir Fygenson

In fluid transport across nanopores, there is a fundamental dissipation that arises from the connection between the pore and the macroscopic reservoirs. This entrance effect can hinder the whole transport in certain situations, for short…

Soft Condensed Matter · Physics 2015-01-08 Simon Gravelle , Laurent Joly , Christophe Ybert , Lydéric Bocquet

Chemically patterned surfaces are of significant interest in the context of microfluidic applications. Miniaturization of such devices will eventually lead to structures on the nano-scale. Whereas on the micron scale purely macroscopic…

Soft Condensed Matter · Physics 2007-05-23 Markus Rauscher , S. Dietrich

In this paper, a generalized macromodeling approach is presented to simulate complex electromagnetic (EM) surfaces consisting of unit cells with connected conductors. Macromodels of each unit cell are produced by applying the equivalence…

Numerical Analysis · Mathematics 2022-08-17 Reza Gholami , Parinaz Naseri , Piero Triverio , Sean V. Hum

Mitigation of hot spots in MEMS employing in situ microchannel systems requires a comprehensive picture of the maldistribution of the working fluid and uniformity of cooling within the same. In this article, detailed simulations employing…

Fluid Dynamics · Physics 2016-05-03 Lakshmi Sirisha Maganti , Purbarun Dhar , T Sundararajan , Sarit K Das

Numerical investigation of the interaction of electromagnetic fields with eukaryotic cells requires specifically adapted computer models. Virtual microdosimetry, used to investigate exposure, requires volumetric cell models, which are…

This theoretical study investigates the nonlinear ionic current-voltage characteristics of nano-channels that have weakly overlapping electrical double layers. Numerical simulations as well as a 1-D mathematical model are developed to…

Chemical Physics · Physics 2017-01-10 Yang Liu , Lingzi Guo , Xin Zhu , Qiushi Ran , Robert Dutton

Nanophotonic structures have versatile applications including solar cells, anti-reflective coatings, electromagnetic interference shielding, optical filters, and light emitting diodes. To design and understand these nanophotonic structures,…

Machine Learning · Computer Science 2023-10-31 Jungtaek Kim , Mingxuan Li , Oliver Hinder , Paul W. Leu