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Updated: May 20, 2025

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物理学告诉神经网络进行流体流分析与重复的参数初始化

Jongmok Lee1, Seungmin Shin1, Taewan Kim1

  • 1Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, Republic of Korea.

Scientific reports
|May 14, 2025
PubMed
概括

本研究介绍了一种新的物理信息神经网络 (PINNs) 重启训练策略,以改进刚性流体动力学模拟. 该方法有效地克服了局部最小值,从而在复杂的流量问题中获得更准确和物理可信的结果.

关键词:
深度神经网络是一个神经网络.流体力学 流体力学 流体力学纳维尔·斯托克斯 在基于物理学的神经网络.

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