EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks
Scanned 9/11/2026
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---
name: evopinn-agentic-discovery-of-executable-algorithms
description: EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks
version: 1.0.0
date: 2026-07-30
arxiv_id: 2607.26490
tags: ["arxiv", "research", "paper", "multi-agent-rl"]
activation_keywords: ["evopinn", "agentic", "discovery", "of", "executable"]
---
# EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks
**arXiv ID:** 2607.26490
**Utility Score:** 1.00
**Authors:** Peng Yin, Kai Li, Yifan Zhang
**URL:** https://arxiv.org/abs/2607.26490
## 概述
EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks
这是一篇来自 arXiv 的高价值论文(utility score: 1.00),通过自动追踪系统识别。
## 核心创新
*待研究论文内容后填写*
## 应用场景
*待研究论文内容后填写*
## 实现要点
*待研究论文内容后填写*
## 参考资源
- [arXiv论文](https://arxiv.org/abs/2607.26490)
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