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Linking the length scales
Nature Machine Intelligence ( IF 18.8 ) Pub Date : 2021-05-11 , DOI: 10.1038/s42256-021-00351-w
Shangying Wang , Simone Bianco

A challenge for multiscale simulations is how to link the macroscopic and microscopic length scales effectively. A new machine-learning-based sampling approach enables full exploration of macro configurations while retaining the precision of a microscale model.

中文翻译:

链接长度刻度

多尺度模拟的挑战是如何有效地链接宏观和微观长度尺度。一种新的基于机器学习的采样方法可以在不影响微观模型精度的情况下,全面研究宏配置。
更新日期:2021-05-11
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