A perspective on machine learning in turbulent flows-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A perspective on machine learning in turbulent flows

Published:2020-04-24 Issue:9-10 Volume:21 Page:567-584
ISSN:1468-5248
Container-title:Journal of Turbulence
language:en
Short-container-title:Journal of Turbulence

Author:

Pandey Sandeep¹,Schumacher Jörg¹²^ORCID,Sreenivasan Katepalli R.²³⁴

Affiliation:

1. Institut für Thermo -– und Fluiddynamik, Technische Universität, Ilmenau, Germany

2. Tandon School of Engineering, New York University, New York, NY, USA

3. Courant Institute of Mathematical Sciences, New York University, New York, NY, USA

4. Department of Physics, New York University, New York, NY, USA

Funder

Deutsche Forschungsgemeinschaft

Publisher

Informa UK Limited

Subject

General Physics and Astronomy,Mechanics of Materials,Condensed Matter Physics,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/14685248.2020.1757685

Reference55 articles.

1. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

2. Machine learning: Trends, perspectives, and prospects

3. Deep learning

4. Deep learning in neural networks: An overview

Cited by 62 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. Sealing rubber ring design based on machine learning algorithm combined progressive optimization method;Tribology International;2025-01

2. Turbulence scaling from deep learning diffusion generative models;Journal of Computational Physics;2024-10

3. Building-block-flow computational model for large-eddy simulation of external aerodynamic applications;Communications Engineering;2024-09-07

4. On the prediction of the turbulent flow behind cylinder arrays via echo state networks;Machine Learning: Science and Technology;2024-07-05

5. Hybrid-attention-based Swin-Transformer super-resolution reconstruction for tomographic particle image velocimetry;Physics of Fluids;2024-06-01

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