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The inter-connection between the elasticity of a dielectric film and the wetting of a sessile drop on the same, under an applied electrical voltage, remains unaddressed. Here, we report the electrowetting-on-dielectric (EWOD) behaviour of…

Fluid Dynamics · Physics 2017-12-11 Ranabir Dey , Sunando DasGupta , Suman Chakraborty

This study investigates the molecular-level mechanism of Alternating Current Electrohydrodynamic (AC-EHD) flow in nanopores under high-frequency conditions, using molecular dynamics simulations. A gold-NaCl system with symmetric and…

Soft Condensed Matter · Physics 2026-03-24 Sobin Alosious , Fiach Antaw , Matt Trau , Shern R. Tee , Debra J. Searles

A methodology for substantially increasing the magnitude of the electrokinetic streaming potential (Vs) from ~ 0.02 V to as large as ~ 1.6 V is proposed. This is done through deploying textured, liquid-filled surfaces (LFS), filled with low…

Fluid Dynamics · Physics 2020-06-05 B. Fan , P. R. Bandaru

Fluid transport in microfluidic systems typically is laminar due to the low Reynolds number characteristic of the flow. The inclusion of suspended polymers imparts elasticity to fluids, allowing instabilities to be excited when substantial…

Soft Condensed Matter · Physics 2015-05-18 R. M. Bryce , M. R. Freeman

Nonlinearity of electroosmotic flows (EOFs) is ubiquitous and plays a crucial role in the mass and energy transfer in ion transport, specimen mixing, electrochemistry reaction, and electric energy storage and utilizing. When and how the…

We study the effect of the grafted polyelectrolyte layer on the flow dynamics, and its consequences on underlying mixing in the rotating microfluidic channel. For this analysis, the method used by Sadeghi et al. (J. Fluid Mech., vol. 887,…

Fluid Dynamics · Physics 2021-07-07 Harshad Sanjay Gaikwad , Pranab Kumar Mondal

Numerical analyses of transient electro-osmosis of a typical non-Newtonian liquid induced by DC and AC electric fields in a rectangular microchannel are conducted in the framework of continuum fluid mechanics. The famous power-law…

Fluid Dynamics · Physics 2015-07-23 Cunlu Zhao , Chun Yang

Using mean-field approximations, this paper identifies a phase transition in a three-dimensional Electron Glass lattice model. The density of states of the eigenvalue distribution of the inverse susceptibility matrix is used to identify the…

Disordered Systems and Neural Networks · Physics 2023-08-02 Preeti Bhandari , Vikas Malik

The finding of droplet-based electricity generator (DEG), based on the moving boundary of electrical double layer, has triggered great research enthusiasm, and a breakthrough in instantaneous electric power density was achieved recently.…

Materials Science · Physics 2020-09-15 Xiang Wang , Sunmiao Fang , Jin Tan , Tao Hu , Weicun Chu , Jun Yin , Jianxin Zhou , Wanlin Guo

Electroporation is a complex, iterative, and nonlinear phenomenon that is often studied by numerical simulations. In recent years, tissue electroporation simulations have been performed using static models. However, the results of a static…

Systems and Control · Electrical Eng. & Systems 2024-03-08 Raul Guedert , Daniella L. L. S. Andrade , Jéssica Rodrigues , Guilherme B. Pintarelli , Daniela O. H. Suzuki

This work presents a hybrid and hierarchical deep learning model for mid-term load forecasting. The model combines exponential smoothing (ETS), advanced Long Short-Term Memory (LSTM) and ensembling. ETS extracts dynamically the main…

Signal Processing · Electrical Eng. & Systems 2020-04-02 Grzegorz Dudek , Paweł Pełka , Slawek Smyl

The present study deals with the numerical as well as asymptotic analysis of the electrohydrodynamic interaction between two deformable droplets in a confined shear flow. Considering both the phases as leaky dielectric, we have performed…

Fluid Dynamics · Physics 2019-03-27 Somnath Santra , Diptendu Sen , Sayan Das , Suman Chakraborty

In this paper, we propose novel approaches using state-of-the-art machine learning techniques, aiming at predicting energy demand for electric vehicle (EV) networks. These methods can learn and find the correlation of complex hidden…

Signal Processing · Electrical Eng. & Systems 2019-09-04 Yuris Mulya Saputra , Dinh Thai Hoang , Diep N. Nguyen , Eryk Dutkiewicz , Markus Dominik Mueck , Srikathyayani Srikanteswara

A quantum-mechanical model to calculate the electron energy-loss spectra (EELS) for the system of a closely located metallic nanoshell and a molecule has been developed. At the resonance between the molecular excitation and plasmon modes in…

Atomic Physics · Physics 2014-10-07 I. Yu. Goliney , Ye. V. Onykienko

Plasma-filled loop structures are common in the solar corona. Because detailed modeling of the dynamical evolution of these structures is computationally costly, an efficient method for computing approximate but quick physics-based…

Solar and Stellar Astrophysics · Physics 2022-01-12 Abhishek Rajhans , Durgesh Tripathi , Stephen Bradshaw , Vinay Kashyap , James Klimchuk

Thermo-osmotic slip -- the flow induced by a thermal gradient along a surface -- is a well-known phenomenon, but curiously there is a lack of robust molecular-simulation techniques to predict its magnitude. Here, we compare three different…

Soft Condensed Matter · Physics 2017-07-26 Raman Ganti , Yawei Liu , Daan Frenkel

Dielectric elastomers are an emerging class of highly deformable electro-active materials employed for electromechanical transduction technology. For practical applications, the design of such transducers requires a model accounting for…

Soft Condensed Matter · Physics 2018-11-12 Eliana Bortot

Water-in-Salt-Electrolytes (WiSEs) are an exciting class of concentrated electrolytes finding applications in energy storage devices because of their expanded electrochemical stability window, good conductivity and cation transference…

Elastic turbulence (ET), observed in flows of sufficiently elastic polymer solution at small inertia, is characterized by chaotic motions and power-law scaling of energy spectrum ($E$) in both wavenumber ($k$) and frequency ($\omega$):…

Advancements in lithium battery technology heavily rely on the design and engineering of electrolytes. However, current schemes for molecular design and recipe optimization of electrolytes lack an effective computational-experimental closed…