Physics-informed neural networks for gravity currents reconstruction from limited data
Author:
Affiliation:
1. LEMTA, Université de Lorraine, CNRS 1 , 2, Avenue de la Forêt de Haye, B.P. 160, 54504 Vandœuvre-lès-Nancy, France
2. Institut Universitaire de France (IUF) 2 , Paris, France
Abstract
Funder
Agence Nationale de la Recherche
Publisher
AIP Publishing
Subject
Condensed Matter Physics,Fluid Flow and Transfer Processes,Mechanics of Materials,Computational Mechanics,Mechanical Engineering
Link
https://pubs.aip.org/aip/pof/article-pdf/doi/10.1063/5.0136886/16683842/027124_1_online.pdf
Reference36 articles.
1. Robust flow reconstruction from limited measurements via sparse representation;Phys. Rev. Fluids,2019
2. Reconstruction of unsteady viscous flows using data assimilation schemes;J. Comput. Phys.,2016
3. 4d large scale variational data assimilation of a turbulent flow with a dynamics error model;J. Comput. Phys.,2020
4. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;J. Comput. Phys.,2019
5. Physics-informed neural networks (PINNS) for fluid mechanics: A review;Acta Mech. Sin.,2022
Cited by 4 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. High-resolution reconstruction of turbulent flames from sparse data with physics-informed neural networks;Combustion and Flame;2024-02
2. Pre-Training Physics-Informed Neural Network with Mixed Sampling and Its Application in High-Dimensional Systems;Journal of Systems Science and Complexity;2024-01-26
3. Physics-regulated dynamic mode decomposition for natural gas pipeline flow;Physics of Fluids;2023-09-01
4. Flow-field reconstruction in rotating detonation combustor based on physics-informed neural network;Physics of Fluids;2023-07-01
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