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p A Mixed Wavelet-Learning Method of Predicting Macroscopic Effective Heat Transfer Conductivities of Braided Composite Materials 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2022, 卷号: 31, 期号: 2, 页码: 593-625
作者:  Dong, Hao;  Kou, Wenbo;  Han, Junyan;  Linghu, Jiale;  Zou, Minqiang;  Cui, Junzhi
收藏  |  浏览/下载：128/0  |  提交时间：2022/04/02
Braided composite materials  macroscopic effective heat transfer conductivities  multi-scale modeling  neural networks  wavelet transform  
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:  Yan, Liang;  Zhou, Tao
收藏  |  浏览/下载：131/0  |  提交时间：2021/01/14
Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
An Efficient Multigrid Method for Molecular Mechanics Modeling in Atomic Solids 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2011, 卷号: 10, 期号: 1, 页码: 70-89
作者:  Chen, Jingrun;  Ming, Pingbing
收藏  |  浏览/下载：95/0  |  提交时间：2018/07/30
Multigrid method  linear-scaling algorithm  Cauchy-Born rule  nanoindentation