Learning mesh motion techniques with application to fluid–structure interaction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Learning mesh motion techniques with application to fluid–structure interaction

Published:2024-05 Issue: Volume:424 Page:116890
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Haubner Johannes^ORCID,Hellan Ottar^ORCID,Zeinhofer Marius,Kuchta Miroslav

Funder

Norges Forskningsråd

Publisher

Elsevier BV

Reference60 articles.

1. Deep learning;LeCun;Nature,2015

2. Artificial neural networks for solving ordinary and partial differential equations;Lagaris;IEEE Trans. Neural Netw.,1998

3. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019

4. Scientific machine learning through physics–informed neural networks: Where we are and what’s next;Cuomo;J. Sci. Comput.,2022

5. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators;Lu;Nat. Mach. Intell.,2021

Cited by 2 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. Numerical methods for shape optimal design of fluid–structure interaction problems;Computer Methods in Applied Mechanics and Engineering;2024-12

2. A comprehensive review of water entry/exit of lifeboats and occupant safety;Ocean Engineering;2024-10

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