MultiLevel variational MultiScale (ML-VMS) framework for large-scale simulation

Lei Zhang

doi:10.1016/j.cma.2026.118807

2026-02-13

PRE

DOI：10.1016/j.cma.2026.118807

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摘要

En 中文

• 一种通过线性有限元网格解决不同空间和时间尺度的新型多尺度框架。 • 一种通过调整卷积层次深度学习神经网络的超参数来实现任意插值阶数的高效方法，且不增加自由度。 • 一种时空公式化方法，提供无条件稳定性，可一次性求解所有时间步。

Keyword:

Multiscale framework

Space-time formulation

Variational methods

Deep-learning neural network

Large-scale simulation

期刊

Computer Methods in Applied Mechanics and Engineering

IF:

7.3

论文数:

1.3W

被引数:

5.6W

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northwestern university

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the university of texas at austin

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Peking University

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university of chinese academy of sciences

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976

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