A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites

标题
A generalizable and interpretable deep learning model to improve the prediction accuracy of strain fields in grid composites
作者
关键词
-
出版物
MATERIALS & DESIGN
Volume 223, Issue -, Pages 111192
出版商
Elsevier BV
发表日期
2022-09-23
DOI
10.1016/j.matdes.2022.111192

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