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;

基本信息

  • 批准号:
    0839866
  • 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:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-09-01 至 2009-08-31
  • 项目状态:
    已结题

项目摘要

The investigators propose to participate in organizing the next ICOSAHOM (International Conference on Spectral And High-Order Methods) on June 22-26 2009 at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. They have been working in this field for several decades and have been active participants in all past ICOSAHOM meetings. Selected papers from the proceedings will be published as a special issue in a archival journal. They also plan to produce a report for the funding agency that will provide feedback from a round-table discussion we plan to organize. The theme of this round-table discussion will be the future algorithmic trends and applications of numerical methods and what is the role of high-order methods. Also, their transition to computer codes that will be used for the simulation needs of the national labs and in industry will be discussed, especially in the context of petaflop applications. To this end, they plan to invite researchers with advanced computing expertise and also have interest on high-order accuracy to participate in this panel. The invited and contributed talks will contain new theoretical and applications results of spectral and high-order methods which had not been published yet. Spectral and high-order methods have become increasingly important in diverse applications as aeroacoustics, electromagnetics, ocean modeling, seismology, energy, non-Newtonian flows, nonlinear optics, plasma dynamics, and uncertainty quantification. New developments in the last few years have addressed issues of complex geometry, high-speed flows, fast solvers for large-scale simulations, reduced order modeling, and stochastic modeling.NSF has invested heavily in computer hardware in their last three decades in par with the rapid growth of computer industry. However, simultaneous advances are required in the development of algorithms and software in order to make effective use of the new computer resources. This conference will advance the state-of-the-art in algorithms of high accuracy that are required in order to produce credible simulation results. In addition to the senior researchers invited, we plan to sponsor young researchers, postdocs and PhD students, especially from under-represented minorities, in order to educate a new cadre of simulation scientists in these methods. Today, high-order accuracy (at least second-order) is a requirement for publishing archival work in engineering journals, and the planned panel discussion is expected to have great impact in the engineering community. In addition, the important issue of numerical versus modeling accuracy and issues related to Verification and Validation will be discussed.
研究人员计划参加2009年6月22-26日在挪威特隆赫姆的挪威科技大学(NTNU)举办的下一届ICOSAHOM(光谱和高阶方法国际会议)。他们在这一领域工作了几十年,并积极参加了委员会以往的所有会议。会议记录中的部分论文将作为特刊在一份档案期刊上发表。他们还计划为资助机构编写一份报告,该报告将提供我们计划组织的圆桌讨论的反馈。本次圆桌讨论的主题将是数值方法的未来算法趋势和应用以及高阶方法的作用。此外,他们的过渡到计算机代码,将用于国家实验室和工业的模拟需求进行了讨论,特别是在petaflop应用的背景下。为此,他们计划邀请具有先进计算专业知识并对高阶精度感兴趣的研究人员参加该小组。邀请和贡献的演讲将包含光谱和高阶方法尚未发表的新的理论和应用结果。谱方法和高阶方法在航空声学、电磁学、海洋建模、地震学、能量、非牛顿流、非线性光学、等离子体动力学和不确定性量化等不同应用中变得越来越重要。在过去的几年里,新的发展已经解决了复杂几何,高速流动,大规模模拟的快速求解器,降阶建模和随机建模的问题。NSF在过去的三十年里,随着计算机工业的快速发展,在计算机硬件方面投入了大量资金。然而,为了有效地利用新的计算机资源,需要在算法和软件的开发方面同时取得进展。本次会议将推进高精度算法的最新发展,以产生可靠的仿真结果。除了邀请的高级研究人员外,我们还计划赞助年轻的研究人员、博士后和博士生,特别是来自少数民族的研究人员,以培养新的模拟科学家。今天,高阶精度(至少二阶)是在工程期刊上发表档案工作的要求,计划中的小组讨论预计将在工程界产生巨大影响。此外,将讨论数值与建模精度的重要问题以及与验证和确认相关的问题。

项目成果

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会议论文数量(0)
专利数量(0)

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George Karniadakis其他文献

Correction to: A computational mechanics special issue on: data-driven modeling and simulation—theory, methods, and applications
  • DOI:
    10.1007/s00466-019-01747-7
  • 发表时间:
    2019-06-28
  • 期刊:
  • 影响因子:
    3.800
  • 作者:
    Wing Kam Liu;George Karniadakis;Shaoqiang Tang;Julien Yvonnet
  • 通讯作者:
    Julien Yvonnet
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
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:
  • 影响因子:
  • 作者:
    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
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

George Karniadakis的其他文献

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{{ truncateString('George Karniadakis', 18)}}的其他基金

Collaborative Research: AMPS: Multi-Fidelity Modeling via Machine Learning for Real-time Prediction of Power System Behavior
合作研究:AMPS:通过机器学习进行多保真度建模,实时预测电力系统行为
  • 批准号:
    1736088
  • 财政年份:
    2017
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Continuing Grant
MANNA 2017: Modeling, Analysis, and Numerics for Nonlocal Applications
MANNA 2017:非局部应用的建模、分析和数值
  • 批准号:
    1747867
  • 财政年份:
    2017
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
New evolution equations of the joint response-excitation PDF for stochastic modeling: Theory and numerical methods
用于随机建模的联合响应激励 PDF 的新演化方程:理论和数值方法
  • 批准号:
    1216437
  • 财政年份:
    2012
  • 资助金额:
    $ 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
  • 批准号:
    0904288
  • 财政年份:
    2009
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
Multiscale Modeling of Flow over Functionalized Surfaces: Algorithms and Applications
功能化表面流动的多尺度建模:算法和应用
  • 批准号:
    0852948
  • 财政年份:
    2009
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
Overcoming the Bottlenecks in Polynomial Chaos: Algorithms and Applications to Systems Biology and Fluid Mechanics
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
  • 批准号:
    0915077
  • 财政年份:
    2009
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
Multiscale Models and Petaflops Simulations on the Human Brain Vascular Network
人脑血管网络的多尺度模型和千万亿次模拟
  • 批准号:
    0845449
  • 财政年份:
    2008
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
CI-TEAM Implementation Project: Collaborative Research: Training Simulation Scientists in Advanced Cyberinfrastructure Tools and Concepts
CI-TEAM 实施项目:协作研究:培训模拟科学家掌握先进的网络基础设施工具和概念
  • 批准号:
    0636336
  • 财政年份:
    2006
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
AMC-SS: A Multi-Element Generalized Polynomial Chaos Method for Modeling Uncertainty in Flow Simulations
AMC-SS:一种用于流体仿真中不确定性建模的多元素广义多项式混沌方法
  • 批准号:
    0510799
  • 财政年份:
    2005
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Standard Grant
A Stochastic Molecular Dynamics Method for Multiscale Modeling of Blood Platlet Pheonmena
血小板现象多尺度建模的随机分子动力学方法
  • 批准号:
    0506312
  • 财政年份:
    2005
  • 资助金额:
    $ 1.5万
  • 项目类别:
    Continuing Grant

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