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Collaborative Research: Optimal-Complexity Spectral Methods for Complex Fluids

合作研究：复杂流体的最优复杂谱方法

基本信息

批准号：
1952757
负责人：
Alex Townsend
金额：
$ 12万
依托单位：
Cornell University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952757&HistoricalAwards=false
关键词：
Collaborative Research Optimal Complexity Spectral

项目摘要

Complex fluids, such as microbial suspensions in biology or quantum fluids in physics, exhibit a wealth of intriguing phenomena, ranging from spontaneous transport and non-equilibrium pattern formation to the emergence of superfluid and superconductive currents. Computational techniques for simulating and predicting the dynamics of these fluids in realistic 3D configurations found in laboratories are not keeping pace with the recent breakthroughs in experimental design and mathematical modeling. The Principal Investigators (PIs) will develop a collection of computational advancements that are urgently needed to validate current mathematical models and explore relevant parameter regimes to guide current and next-generation experiments. These efforts will pave the way for a better understanding of biological and physical transport phenomena, promising improved designs of micro-fluidic and quantum-fluidic devices. The project also provides research training opportunities for graduate students. The PIs will be developing highly efficient numerical methods based on a hybrid of Fourier/ultraspherical spectral methods that are ideally suited for accurately and robustly treating the high-order derivatives that appear in the complex fluid models. This computational framework will enable the fast simulation of non-equilibrium fluid flows through scientifically relevant geometries composed of cylinders, spheres, and ellipsoids. The algorithms will be parallelizable for efficient simulation on next-generation hardware accelerators. Working with two experimental collaborators, the PIs will investigate chaotic mixing, transport properties, and topological nature of geometrically confined non-Newtonian fluids.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.

复杂的流体，如生物中的微生物悬浮液或物理学中的量子流体，表现出丰富的有趣现象，从自发输运和非平衡图案的形成到超导流体和超导电流的出现。在实验室中发现的用于模拟和预测这些流体在真实3D构型中的动力学的计算技术跟不上最近在实验设计和数学建模方面的突破。首席调查员将开发一系列迫切需要的计算进展，以验证当前的数学模型并探索相关参数制度，以指导当前和下一代实验。这些努力将为更好地理解生物和物理传输现象铺平道路，有望改进微流体和量子流体设备的设计。该项目还为研究生提供了研究培训机会。PIS将开发基于傅立叶/超球谱方法的高效数值方法，这些方法非常适合于精确和稳健地处理复杂流体模型中出现的高阶导数。这一计算框架将能够快速模拟非平衡流体通过由圆柱体、球体和椭球体组成的科学相关几何图形的流动。这些算法将可以并行化，以便在下一代硬件加速器上进行有效的模拟。PIS将与两名实验合作者合作，研究几何受限非牛顿流体的混沌混合、传输特性和拓扑性质。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。