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	Model calibration for detonation products: A physics-informed, time-dependent surrogate method based on machine learning 期刊论文 International Journal for Uncertainty Quantification,2020, 卷号: 10, 期号: 3, 页码: 277-296 作者: Zhang, Juan; Yin, Junping; Wang, Ruili; Chen, Jie 收藏 \| 浏览/下载：13/0 \| 提交时间：2023/09/11 Detonation product Machine learning Model calibration Time-dependent surrogate model Uncertainty quantification
	Uncertainty quantification of detonation based on non-intrusive polynomial chaos 基于非嵌入多项式混沌的爆轰不确定度量化期刊论文 Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics,2019, 卷号: 36, 期号: 5, 页码: 672-677 作者: Liang，Xiao; Wang，Rui Li 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/09/11 Cylindrical test Detonation wave Non-intrusive polynomial chaos Tensor product Uncertainty quantification