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Reduced Models for Transport of Particles in Heterogeneous Media

Reduced Models for Transport of Particles in Heterogeneous Media
异质介质中粒子传输的简化模型
批准号:
1813943
负责人:
Alexei Novikov
金额:
$28.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-01 至 2022-07-31

项目摘要

项目成果

Alexei Novikov的其他基金

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中文摘要
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英文摘要
The overall objective of this project is to study physical systems in heterogeneous environments. Heterogeneous environments are ubiquitous. Some examples are ocean flows, atmospheric turbulence, oil-bearing sands, and biological tissues. Understanding overall properties of such media is relevant to aspects of virtually every branch of science and engineering; especially materials science, chemical engineering, geophysics, medical imaging and fluid dynamics. One of the projects of this research concerns changes in salinity or chlorofluorocarbon on the surface of the ocean. Oceanic vortices may dramatically change mixing rates of various chemical compounds. The aim of this project is to estimate these rates in simpler mathematical models to illuminate the mechanisms present in the full problem. Another project of this research concerns light propagation through the atmosphere. The main source of distortion in these devices comes from atmospheric turbulence. The aim of this project is to understand the mechanism of this distortion.This work carries out mathematical studies of particle propagation in cluttered environments and of convection-diffusion processes in fluids. The first project concentrates on the effect of long-range correlations. This is a novel direction in the theory of propagation in random media, and approximate models of propagation in slowly decorrelating media are not yet developed. The goal is to explain how long-range correlations lead to time-scale separation of various phenomena. The second project concentrates on the interaction of the standard and the fractional diffusion with incompressible flows. The intellectual challenge of the proposed work is to understand this interaction for incompressible flows with large amplitude. This is particularly relevant to understanding diffusion in turbulent flows.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
Random walk methods for Monte Carlo simulations of Brownian diffusion on a sphere
球体上布朗扩散蒙特卡罗模拟的随机游走方法
DOI: 10.1016/j.amc.2019.124670
发表时间: 2020
期刊: Applied Mathematics and Computation
影响因子: 4
作者: [Novikov, A., Kuzmin, D., Ahmadi, O.]
通讯作者: Ahmadi, O.
Fast Signal Recovery From Quadratic Measurements
从二次测量中快速恢复信号
DOI: 10.1109/tsp.2021.3067140
发表时间: 2021
期刊: IEEE Transactions on Signal Processing
影响因子: 5.4
作者: [Moscoso, Miguel, Novikov, Alexei, Papanicolaou, George, Tsogka, Chrysoula]
通讯作者: Tsogka, Chrysoula
Feeble Fish in Time‐Dependent Waters and Homogenization of the G‐equation
时间上的弱鱼——相关水域和 G 方程的均质化
DOI: 10.1002/cpa.21878
发表时间: 2020
期刊: Communications on Pure and Applied Mathematics
影响因子: 3
作者: [Burago, Dmitri, Ivanov, Sergei, Novikov, Alexei]
通讯作者: Novikov, Alexei
Synthetic Aperture Imaging With Intensity-Only Data
仅强度数据的合成孔径成像
DOI: 10.1109/tci.2019.2919272
发表时间: 2020
期刊: IEEE Transactions on Computational Imaging
影响因子: 5.4
作者: [Moscoso, Miguel, Novikov, Alexei, Papanicolaou, George, Tsogka, Chrysoula]
通讯作者: Tsogka, Chrysoula
9
    Transport of Particles in Heterogeneous Media
    Collaborative Research: Waves and Fronts in Heterogeneous Media
    Discrete Networks and Singular Phenomena in Heterogeneous Media
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