Scholarlink

Physics-Informed Neural Networks (PINNs) integrate physical laws into neural network architectures, offering a hybrid approach to solve partial differential equations (PDEs) with high accuracy and computational efficiency.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Variable-Fidelity Physics-Informed Neural Networks

  • 章节

  • 发表日期：

    2026年

查看全文
  • Jin Yi,
  • Jun Zheng,
  • Xinyu Li,
  • Liang Gao

摘要

Physics-Informed Neural Networks (PINNs) integrate physical laws into neural network architectures, offering a hybrid approach to solve partial differential equations (PDEs) with high accuracy and computational efficiency.