Physics-Informed Neural Networks for Inverse Electromagnetic Problems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Physics-Informed Neural Networks for Inverse Electromagnetic Problems

Published:2023-05 Issue:5 Volume:59 Page:1-5
ISSN:0018-9464
Container-title:IEEE Transactions on Magnetics
language:
Short-container-title:IEEE Trans. Magn.

Author:

Baldan Marco¹^ORCID,Di Barba Paolo²^ORCID,Lowther David A.³^ORCID

Affiliation:

1. Department of Optimization, Fraunhofer ITWM, Kaiserslautern, Germany

2. Department of Electrical, Computer, and Biomedical Engineering, The University of Pavia, Pavia, Italy

3. Department of Electrical and Computer Engineering, McGill University, Montreal, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/20/10108398/10056991.pdf?arnumber=10056991

Reference17 articles.

1. Hypernetworks;ha;Proc ICLR Conf,2017

2. Physics-Informed Neural Networks for Solving Parametric Magnetostatic Problems

3. Physics Informed Neural Networks for Electromagnetic Analysis

Cited by 20 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. Traffic assignment optimization to improve urban air quality with the unified finite-volume physics-informed neural network;Sustainable Cities and Society;2024-11

2. Temporal Modeling for Power Converters With Physics-in-Architecture Recurrent Neural Network;IEEE Transactions on Industrial Electronics;2024-11

3. Electromagnetic Interference Effect Assessment Under Measuring Testability Limitation Based on Physics-Informed Neural Network and Gaussian Process Regression;IEEE Transactions on Power Electronics;2024-10

4. A deep neural network reduced order model for unsteady aerodynamics of pitching airfoils;Aerospace Science and Technology;2024-09

5. Electromagnetic-Informed Generative Models for Passive RF Sensing and Perception of Body Motions;IEEE Open Journal of Antennas and Propagation;2024-08

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