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Monte Carlo fPINNs: Deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 400, 页码: 17
作者:  Guo, Ling;  Wu, Hao;  Yu, Xiaochen;  Zhou, Tao
收藏  |  浏览/下载：49/0  |  提交时间：2023/02/07
Physics -informed neural networks  Fractional Laplacian  Nonlocal operators  Uncertainty quantification  
DRVN (deep random vortex network): A new physics-informed machine learning method for simulating and inferring incompressible fluid flows 期刊论文
PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 10, 页码: 21
作者:  Zhang, Rui;  Hu, Peiyan;  Meng, Qi;  Wang, Yue;  Zhu, Rongchan;  Chen, Bingguang;  Ma, Zhi-Ming;  Liu, Tie-Yan
收藏  |  浏览/下载：60/0  |  提交时间：2023/02/07

Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models

 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 461, 页码: 18
作者:  Guo, Ling;  Wu, Hao;  Zhou, Tao
收藏  |  浏览/下载：117/0  |  提交时间：2023/02/07
Data -driven modeling  Normalizing flows  Uncertainty quantification  Random fields  
Adversarial Information Bottleneck 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 10
作者:  Zhai, Penglong;  Zhang, Shihua
收藏  |  浏览/下载：53/0  |  提交时间：2023/02/07
Robustness  Optimization  Mutual information  Deep learning  Perturbation methods  Training  Task analysis  Adversarial robustness  deep learning  hyperparameter selection  information bottleneck (IB)  
Linear system design with application in wireless sensor networks 期刊论文
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2022, 卷号: 27, 页码: 14
作者:  Gao, Kaiye;  Peng, Rui;  Qu, Li;  Xing, Liudong;  Wang, Shouyang;  Wu, Di
收藏  |  浏览/下载：67/0  |  提交时间：2023/02/07
Reliability  Cost  Signal coverage  Linear multi-state consecutively connected system  Universal generating function  Wireless sensor network  
Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials 期刊论文
COMPUTATIONAL MECHANICS, 2022, 页码: 31
作者:  Linghu, Jiale;  Dong, Hao;  Cui, Junzhi
收藏  |  浏览/下载：91/0  |  提交时间：2022/06/21
Concrete composite materials  Weibull distribution  Equivalent mechanical parameters  Artificial neural networks  Wavelet transform  
The emergence of triads on signed social network 期刊论文
EUROPEAN PHYSICAL JOURNAL PLUS, 2022, 卷号: 137, 期号: 3, 页码: 8
作者:  Li, Zhenpeng;  Tang, Xijin
收藏  |  浏览/下载：103/0  |  提交时间：2022/04/29
Analysis of epidemic propagation using mean field theory on signed graphs 期刊论文
MODERN PHYSICS LETTERS B, 2022, 卷号: 36, 期号: 06, 页码: 10
作者:  Su, Hongwei;  Zhang, Zi-Wei;  Wen, Guoxing;  Yan, Guan
收藏  |  浏览/下载：116/0  |  提交时间：2022/04/29
Signed networks  epidemic propagation  infection rate  mean field approximation  dynamic properties  
DeepDigest: Prediction of Protein Proteolytic Digestion with Deep Learning 期刊论文
ANALYTICAL CHEMISTRY, 2021, 卷号: 93, 期号: 15, 页码: 6094-6103
作者:  Yang, Jinghan;  Gao, Zhiqiang;  Ren, Xiuhan;  Sheng, Jie;  Xu, Ping;  Chang, Cheng;  Fu, Yan
收藏  |  浏览/下载：141/0  |  提交时间：2021/10/26
A wavelet-based learning approach assisted multiscale analysis for estimating the effective thermal conductivities of particulate composites 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 374, 页码: 28
作者:  Dong, Hao;  Nie, Yufeng;  Cui, Junzhi;  Kou, Wenbo;  Zou, Minqiang;  Han, Junyan;  Guan, Xiaofei;  Yang, Zihao
收藏  |  浏览/下载：176/0  |  提交时间：2021/04/26
Particulate composites  Effective thermal conductivities  Multiscale modeling  Artificial neural network  Wavelet transform