CAREER: Singularities in fluids
CAREER: Singularities in fluids
批准号:
2243205
负责人:
Tristan Buckmaster
金额:
$45.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-01 至 2027-08-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Innumerable hydrodynamical phenomena are described in terms of singularities, of which perhaps the most well-known is the formation of shock waves resulting from a disturbance in a medium such as air or water moving faster than the local speed of sound. The goal of this project is to create a broad program for both research and pedagogical activities centered around the study of singularities in fluids. The award will provide research opportunities and training for postdoctoral scholars and will leverage its research elements to design projects suitable for undergraduate students. The project will also aim at producing a foundational graduate textbook on shock waves in compressible fluids.The research component is split into three projects: formation and development of shock waves, radial implosions from smooth initial data, and self-similar blow-up via neural networks. Building on previous work of the PI and his collaborators, the aim of the first project will be to provide the first full description of shock wave formation and development for the multi-dimensional compressible Euler equations. The second project involves further developing prior work on self-similar imploding solutions for isentropic compressible flows to investigate the possibility of new types of singularities. The third project involves utilizing physically informed neural networks to search for new forms of singularities in fluid, whose existence will be made rigorous through the aid of computer assisted proofs.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(2)
专著(0)
科研奖励(0)
会议论文
Asymptotic Self-Similar Blow-Up Profile for Three-Dimensional Axisymmetric Euler Equations Using Neural Networks
使用神经网络的三维轴对称欧拉方程的渐近自相似放大剖面
DOI:
10.1103/physrevlett.130.244002
发表时间:
2023
期刊:
Physical Review Letters
影响因子:
8.6
作者:
[Wang, Y., Lai, C.-Y., Gómez-Serrano, J., Buckmaster, T.]
通讯作者:
Buckmaster, T.
DOI:
10.1090/qam/1661
发表时间:
2023-01
期刊:
Quarterly of Applied Mathematics
影响因子:
0.8
作者:
[T. Buckmaster;Gonzalo Cao-Labora;Javier G'omez-Serrano]
通讯作者:
T. Buckmaster;Gonzalo Cao-Labora;Javier G'omez-Serrano
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
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批准号:2244879
-
项目类别:Standard Grant
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资助金额:$13.8万
-
财政年份:2023
-
负责人:Tristan Buckmaster
-
依托单位:
FRG: Collaborative Research: Singularities in Incompressible Flows: Computer Assisted Proofs and Physics-Informed Neural Networks
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批准号:2403764
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项目类别:Standard Grant
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资助金额:$13.8万
-
财政年份:2023
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负责人:Tristan Buckmaster
-
依托单位:
Analytic Methods in Hydrodynamic and Wave Turbulence
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批准号:2242677
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项目类别:Continuing Grant
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资助金额:$20.07万
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财政年份:2022
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负责人:Tristan Buckmaster
-
依托单位:
CAREER: Singularities in fluids
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批准号:2145716
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项目类别:Continuing Grant
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资助金额:$45.0万
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财政年份:2022
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负责人:Tristan Buckmaster
-
依托单位:
Analytic Methods in Hydrodynamic and Wave Turbulence
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批准号:1900149
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项目类别:Continuing Grant
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资助金额:$20.07万
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财政年份:2019
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负责人:Tristan Buckmaster
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依托单位:
Analytic Methods in Hydrodynamic and Wave Turbulence
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批准号:1820764
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项目类别:Standard Grant
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资助金额:$4.89万
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财政年份:2017
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负责人:Tristan Buckmaster
-
依托单位:
Analytic Methods in Hydrodynamic and Wave Turbulence
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批准号:1600868
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项目类别:Standard Grant
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资助金额:$11.66万
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财政年份:2016
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负责人:Tristan Buckmaster
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依托单位:
海外基金