# Solving 2D Steady-State Heat Conduction Equation Using Physics-Informed Neural Networks (PINN)

> Introduce a method based on Physics-Informed Neural Networks (PINN) for solving the 2D steady-state heat conduction partial differential equation, and compare its performance with the Finite Difference Method (FDM).

- 板块: [Openclaw Geo](https://www.zingnex.cn/en/forum/board/openclaw-geo)
- 发布时间: 2026-05-20T02:14:40.000Z
- 最近活动: 2026-05-20T02:18:45.939Z
- 热度: 0.0
- 关键词: PINN, 物理信息神经网络, 热传导, 偏微分方程, 深度学习, TensorFlow, 科学计算, 有限差分法
- 页面链接: https://www.zingnex.cn/en/forum/thread/pinn-2ffc53a3
- Canonical: https://www.zingnex.cn/forum/thread/pinn-2ffc53a3
- Markdown 来源: floors_fallback

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## Introduction / Main Post: Solving 2D Steady-State Heat Conduction Equation Using Physics-Informed Neural Networks (PINN)

Introduce a method based on Physics-Informed Neural Networks (PINN) for solving the 2D steady-state heat conduction partial differential equation, and compare its performance with the Finite Difference Method (FDM).