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Published in 2019 at "International Journal of Heat and Mass Transfer"
DOI: 10.1016/j.ijheatmasstransfer.2019.118569
Abstract: Abstract A systematic theoretical study of thermoelectric effect and temperature-gradient-driven electrokinetic flow of electrolyte solutions in charged nanocapillaries is presented. The study is based on a semianalytical model developed by simultaneously solving the nonisothermal Poisson-Nernst-Planck-Navier-Stokes…
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Keywords:
temperature gradient;
driven electrokinetic;
flow;
gradient driven ... See more keywords
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Published in 2017 at "Physics of Plasmas"
DOI: 10.1063/1.5001831
Abstract: The temporal evolution of the resistive pressure-gradient-driven mode in a sheared flow is investigated as a solution of the initial value problem by employing the sheared mode approach. It reveals the essential difference of the…
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Keywords:
evolution;
evolution resistive;
pressure gradient;
temporal evolution ... See more keywords
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Published in 2019 at "Physics of Plasmas"
DOI: 10.1063/1.5109259
Abstract: XGC (X-point Gyrokinetic Code) is a whole-volume, total-f gyrokinetic particle-in-cell code developed for modelling tokamaks. In recent work, XGC has been extended to model more general 3D toroidal magnetic configurations, such as stellarators. These improvements…
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Keywords:
code;
geometry;
gradient driven;
temperature gradient ... See more keywords
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Published in 2024 at "Physics of Fluids"
DOI: 10.1063/5.0251773
Abstract: Two-dimensional (2D) nanomaterials exhibit unique properties that are promising for diverse applications, including those relevant to concentration-gradient-driven transport of electrolyte solutions through porous membranes made from these materials, such as water desalination, osmotic power, and…
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Keywords:
gradient driven;
scaling laws;
transport;
concentration gradient ... See more keywords
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Published in 2025 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2025.3625052
Abstract: In compressed sensing (CS) MRI, model-based methods are pivotal to achieving accurate reconstruction. One of the main challenges in model-based methods is finding an effective prior to describe the statistical distribution of the target image.…
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Keywords:
driven denoisers;
mri;
reconstruction;
sensing mri ... See more keywords