Self-adaptive loss balanced Physics-informed neural networks
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference37 articles.
1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations;Raissi;J. Comput. Phys.,2019
2. Xiaowei Jin, Shengze Cai, Hui Li, and George Em Karniadakis. Nsfnets (navier-stokes flow nets): Physics-informed neural networks for the incompressible navier-stokes equations. J. Comput. Phys., 426:109951, 2021.
3. Learning in modal space: Solving time-dependent stochastic pdes using physics-informed neural networks;Zhang;SIAM J. Sci. Comput.,2020
4. Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations;Schiassi;Neurocomputing,2021
5. fpinns: Fractional physics-informed neural networks;Pang;SIAM J. Sci. Comput.,2019
Cited by 150 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. Physical activation functions (PAFs): An approach for more efficient induction of physics into physics-informed neural networks (PINNs);Neurocomputing;2024-12
2. DAL-PINNs: Physics-informed neural networks based on D'Alembert principle for generalized electromagnetic field model computation;Engineering Analysis with Boundary Elements;2024-11
3. The modified physics-informed neural network (PINN) method for the thermoelastic wave propagation analysis based on the Moore-Gibson-Thompson theory in porous materials;Composite Structures;2024-11
4. Adaptive trajectories sampling for solving PDEs with deep learning methods;Applied Mathematics and Computation;2024-11
5. A physics-informed neural network framework for multi-physics coupling microfluidic problems;Computers & Fluids;2024-11
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