MANNA 2017: Modeling, Analysis, and Numerics for Nonlocal Applications
MANNA 2017:非局部应用的建模、分析和数值
基本信息
- 批准号:1747867
- 负责人:
- 金额:$ 1.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-12-01 至 2018-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The workshop, "Modeling, Analysis, and Numerics for Nonlocal Applications", will take 11-15 December 2017 in Sante Fe, New Mexico; information is at the website: sites.google.com/site/manna2017abq. The focus of this workshop is on non-local mathematical models, a topic of increasing interest in several diverse scientific and engineering applications related to, as an example, material science, biology, and environmental studies. Non-local calculus and the corresponding models have emerged as a powerful tool for modeling multi-scale phenomena, including overlapping microscopic and macroscopic scales. In the computational mathematics community, two relatively separate groups of researchers (i.e., the "fractional derivatives" and the "non-local operators" communities) are concurrently working on the analysis and simulation of these relevant problems. One of the main goals of this workshop is to unite these separate communities providing significant benefit from their interaction and opportunity to exchange their recent progress and results on the topic. Central to the workshop is also the involvement of students or young researches, not necessarily already engaged in non-local research, who will have the opportunity to interact and learn from worldwide experts. The main topics that will be addressed are the analysis and improvement of such non-local models and their efficient simulation by means of cutting-edge algorithms on the newest computer architectures. Non-local operators provide a new framework to overcome limitations that are present in classical PDE-based models. This workshop is designed to facilitate the exchange of information between the (tempered) fractional calculus and non-local vector calculus and the establishment of connections between them; this will lead to the design of new improved non-local models and will facilitate their analysis and simulation. As a result, the workshop will lead to new research in applications of national interest such as subsurface flow simulations, energy storage systems, contaminant transport, polymer and complex fluid flow, material failure and damage, or any applications in complex systems and disordered media that exhibit anomalous transport and diffusion. The goals and objectives of the workshop include establishing synergies between participants working on fractional PDEs with those working on general non-local integral models; maximizing both the breadth and depth of the information imparted to and exchanged among participants; providing researchers at all career stages with the opportunity to present their state-of-the-art results or to learn from experts in the field; and identifying the most important needs and most potentially fruitful avenues for future non-local related research and related applications. This will be facilitated by the discussion session at the end of each day that will focus on a review of the recent past and near-future directions of research in each area.
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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George Karniadakis其他文献
Physics-Informed Learning Machines for Partial Differential Equations: Gaussian Processes Versus Neural Networks
用于偏微分方程的物理学习机:高斯过程与神经网络
- DOI:
10.1007/978-3-030-44992-6_14 - 发表时间:
2020 - 期刊:
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Guofei Pang;George Karniadakis - 通讯作者:
George Karniadakis
CMINNs: Compartment model informed neural networks — Unlocking drug dynamics
- DOI:
10.1016/j.compbiomed.2024.109392 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Nazanin Ahmadi Daryakenari;Shupeng Wang;George Karniadakis - 通讯作者:
George Karniadakis
MSM White Paper: Cell Scale to Macroscale Integration
MSM 白皮书:细胞尺度到宏观尺度的集成
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
Ching;George Karniadakis;James G. Brasseur;Bridget S. Wilson;Yi Jiang - 通讯作者:
Yi Jiang
Simulating and visualizing the human arterial system on the TeraGrid
- DOI:
10.1016/j.future.2006.03.019 - 发表时间:
2006-10-01 - 期刊:
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Suchuan Dong;Joseph Insley;Nicholas T. Karonis;Michael E. Papka;Justin Binns;George Karniadakis - 通讯作者:
George Karniadakis
En-DeepONet: An enrichment approach for enhancing the expressivity of neural operators with applications to seismology
- DOI:
10.1016/j.cma.2023.116681 - 发表时间:
2024-02-15 - 期刊:
- 影响因子:
- 作者:
Ehsan Haghighat;Umair bin Waheed;George Karniadakis - 通讯作者:
George Karniadakis
George Karniadakis的其他文献
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{{ truncateString('George Karniadakis', 18)}}的其他基金
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$ 1.5万 - 项目类别:
Continuing Grant
Collaborative Research: Scalable Multiscale Models for the Cerebrovasculature: Algorithms, Software and Petaflop Simulations
合作研究:可扩展的脑血管多尺度模型:算法、软件和千万亿次模拟
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Standard Grant
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克服多项式混沌的瓶颈:系统生物学和流体力学的算法和应用
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0915077 - 财政年份:2009
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人脑血管网络的多尺度模型和千万亿次模拟
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0845449 - 财政年份:2008
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$ 1.5万 - 项目类别:
Standard Grant
International Conference on Spectral and High-Order Methods 2009 - ICOSAHOM'09; June 2009, Trondheim, Norway
2009 年光谱和高阶方法国际会议 - ICOSAHOM09;
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0839866 - 财政年份:2008
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0510799 - 财政年份:2005
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$ 1.5万 - 项目类别:
Continuing Grant
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