Exemplary source code
收藏arXiv2025-09-30 收录
下载链接:
https://doi.org/10.25835/6n5uu50y
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资源简介:
该数据集提供了一个源代码示例,展示了如何将训练有素的神经网络整合到有限元框架中,具体是通过使用UMAT子程序。此外,该代码作为实际案例,为那些对在机械模拟中实施机器学习感兴趣的科研人员提供了参考。该任务旨在将神经网络应用于机械模拟中,特别是在晶体塑性建模方面。
This dataset provides a source code example demonstrating how to integrate a pre-trained neural network into a finite element framework via the UMAT subroutine. Additionally, this code serves as a practical reference for researchers interested in implementing machine learning in mechanical simulations. The task of this dataset is to apply neural networks to mechanical simulations, particularly in the field of crystal plasticity modeling.
提供机构:
Open-access repository



