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数据驱动的组织力学与多凸的神经普通微分方程

Vahidullah Tac1, Francisco Sahli Costabal2, Adrian B Tepole1,3

  • 1School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.

Computer methods in applied mechanics and engineering
|December 4, 2023
PubMed
概括

神经常规微分方程 (N-ODEs) 创建符合物理学的数据驱动材料模型. 这种方法确保了多凸性,在模拟中优于复杂材料 (如皮肤) 的传统模型.

关键词:
构成模型的建构模型.机器学习 机器学习非线性有限元素是非线性的.皮肤机械学 皮肤机械学

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