Are extreme dissipation events predictable in turbulent fluid flows?-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Are extreme dissipation events predictable in turbulent fluid flows?

Published:2019-04-17 Issue:4 Volume:4 Page:
ISSN:2469-990X
Container-title:Physical Review Fluids
language:en
Short-container-title:Phys. Rev. Fluids

Author:

Blonigan Patrick J.,Farazmand Mohammad,Sapsis Themistoklis P.

Funder

Army Research Office

Office of Naval Research

National Aeronautics and Space Administration

Publisher

American Physical Society (APS)

Subject

Fluid Flow and Transfer Processes,Modeling and Simulation,Computational Mechanics

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevFluids.4.044606/fulltext

Reference46 articles.

1. A statistically accurate modified quasilinear Gaussian closure for uncertainty quantification in turbulent dynamical systems

2. Statistically accurate low-order models for uncertainty quantification in turbulent dynamical systems

3. A variational approach to probing extreme events in turbulent dynamical systems

4. A probabilistic decomposition-synthesis method for the quantification of rare events due to internal instabilities

5. Probabilistic Description of Extreme Events in Intermittently Unstable Dynamical Systems Excited by Correlated Stochastic Processes

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Large-scale patterns set the predictability limit of extreme events in Kolmogorov flow;Journal of Fluid Mechanics;2024-04-30

2. Predicting turbulent dynamics with the convolutional autoencoder echo state network;Journal of Fluid Mechanics;2023-11-15

3. Conditional analysis on extreme wall shear stress and heat flux events in compressible turbulent boundary layers;Journal of Fluid Mechanics;2023-11-03

4. Nonlinear optimal perturbation of turbulent channel flow as a precursor of extreme events;Journal of Fluid Mechanics;2023-08-29

5. Output-weighted and relative entropy loss functions for deep learning precursors of extreme events;Physica D: Nonlinear Phenomena;2023-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3