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English(EN) Nonlinear elliptic homogenization with the parametric Deep Ritz method

深度Ritz方法解决非线性均匀化问题

研究人员开发了一种使用参数化深度Ritz方法来解决非线性椭圆均匀化中胞问题的新方法。该方法使用神经网络对胞响应进行离散化,提供了一种连续且可微的表示,可以在宏观状态范围内同时求解。参数化深度Ritz方法显示出准确性和效率,与传统的FE$^2$方案相比,显著加快了宏观尺度的求解速度。 AI

影响 该方法为解决复杂的材料属性模拟提供了一种更有效且可微的方法,可能对计算材料科学和工程产生影响。

排序理由 该集群包含一篇学术论文,详细介绍了一种用于求解特定类型偏微分方程的新计算方法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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深度Ritz方法解决非线性均匀化问题

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该集群包含一篇学术论文,详细介绍了一种用于求解特定类型偏微分方程的新计算方法。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Conor Rowan ·

    参数化深度Ritz方法下的非线性椭圆均匀化

    arXiv:2609.05778v1 Announce Type: new Abstract: Elliptic homogenization is used to determine coarse-grained properties of materials with features on small scales. When these small scale features have rapid, periodic fluctuations, the solution field corresponding to a homogenized …