科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
X
Xuhui Meng
huazhong university of science and technology
23
H指数
82
论文数
4.7K
被引数
0
相关解读
订阅
收录论文
22
发表时间
发表时间
IF
被引数
Monte Carlo physics-informed neural networks for multiscale heat conduction via phonon Boltzmann transport equation
基于声子玻尔兹曼输运方程的多尺度热传导蒙特卡洛物理信息神经网络
Journal of Computational Physics
IF
3.8
2025-09-11
0
PRE
AI
Qingyi Lin; Chuang Zhang; Xuhui Meng; Zhaoli Guo
分享
收藏
Uncertainty quantification for noisy inputs-outputs in physics-informed neural networks and neural operators
物理信息神经网络和神经算子中噪声输入输出的不确定性量化
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2025-01-01
0
PRE
AI
Zou, Zongren; Meng, Xuhui; Karniadakis, George Em
分享
收藏
Flow reconstruction with uncertainty quantification from noisy measurements based on Bayesian physics-informed neural networks
PHYSICS OF FLUIDS
IF
4.3
2024-11-01
1
PRE
AI
Liu, Hailong; Wang, Zhi; Deng, Rui; Wang, Shipeng; Meng, Xuhui; Xu, Chao; Cai, Shengze
分享
收藏
Learning mappings of thermal updraft fields under unknown operating conditions using a deep operator network
PHYSICS OF FLUIDS
IF
4.3
2024-06-14
0
PRE
AI
Wang, Danxiang; Xie, Fangfang; Ji, Tingwei; Meng, Xuhui; Zheng, Yao
分享
收藏
Correcting model misspecification in physics-informed neural networks (PINNs)
纠正物理通知神经网络 (PINNs) 中的模型错误规格
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2024-05-01
21
OA
AI
Zou, Zongren; Meng, Xuhui; Karniadakis, George Em
分享
收藏
NeuralUQ: A Comprehensive Library for Uncertainty Quantification in Neural Differential Equations and Operators\ast
SIAM REVIEW
IF
6.1
2024-02-08
12
OA
AI
Zou, Zongren; Meng, Xuhui; Psaros, Apostolos F.; Karniadakis, George E.
分享
收藏
Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines
SCIENTIFIC REPORTS
IF
3.9
2023-08-22
12
OA
AI
Nath, Kamaljyoti; Meng, Xuhui; Smith, Daniel J.; Karniadakis, George Em
分享
收藏
Deep neural operator for learning transient response of interpenetrating phase composites subject to dynamic loading
COMPUTATIONAL MECHANICS
IF
3.8
2023-05-05
11
PRE
AI
Lu, Minglei; Mohammadi, Ali; Meng, Zhaoxu; Meng, Xuhui; Li, Gang; Li, Zhen
分享
收藏
Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons
科学机器学习中的不确定性量化: 方法、度量和比较
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2023-03-01
169
OA
AI
Psaros, Apostolos F.; Meng, Xuhui; Zou, Zongren; Guo, Ling; Karniadakis, George Em
分享
收藏
Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems
现实世界非线性动力系统的贝叶斯物理通知神经网络
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2022-12-01
62
OA
AI
Linka, Kevin; Schafer, Amelie; Meng, Xuhui; Zou, Zongren; Karniadakis, George Em; Kuhl, Ellen
分享
收藏
Learning functional priors and posteriors from data and physics
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2022-05-01
32
OA
AI
Meng, Xuhui; Yang, Liu; Mao, Zhiping; Ferrandis, Jose del Aguila; Karniadakis, George Em
分享
收藏
Gradient-enhanced physics-informed neural networks for forward and inverse PDE
用于正向和反向PDE的梯度增强物理通知神经网络
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2022-04-01
264
OA
AI
Yu, Jeremy; Lu, Lu; Meng, Xuhui; Karniadakis, George Em
分享
收藏
Physics-informed neural networks for solving forward and inverse flow problems via the Boltzmann-BGK formulation
通过boltzmann-bgk公式解决正向和反向流动问题的物理通知神经网络
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2021-12-01
101
OA
AI
Lou, Qin; Meng, Xuhui; Karniadakis, George Em
分享
收藏
A fast multi-fidelity method with uncertainty quantification for complex data correlations: Application to vortex-induced vibrations of marine risers
用于复杂数据相关性的不确定性量化的快速多保真度方法: 在海洋立管的涡激振动中的应用
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2021-12-01
16
OA
AI
Meng, Xuhui; Wang, Zhicheng; Fan, Dixia; Triantafyllou, Michael S.; Karniadakis, George Em
分享
收藏
Multi-fidelity Bayesian neural networks: Algorithms and applications
多保真贝叶斯神经网络: 算法与应用
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2021-08-01
109
OA
AI
Meng, Xuhui; Babaee, Hessam; Karniadakis, George Em
分享
收藏
DeepXDE: A Deep Learning Library for Solving Differential Equations
SIAM REVIEW
IF
6.1
2021-02-04
1.0K
OA
AI
Lu, Lu; Meng, Xuhui; Mao, Zhiping; Karniadakis, George Em
分享
收藏
B-PINNs: Bayesian physics-informed neural networks for forward and inverse PDE problems with noisy data
B-pinns: 贝叶斯物理通知神经网络,用于带噪声数据的正向和反向PDE问题
JOURNAL OF COMPUTATIONAL PHYSICS
IF
3.8
2021-01-01
567
OA
AI
Yang, Liu; Meng, Xuhui; Karniadakis, George Em
分享
收藏
PPINN: Parareal physics-informed neural network for time-dependent PDEs
PPINN: 用于时间相关pde的准物理通知神经网络
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF
7.3
2020-10-01
325
OA
AI
Meng, Xuhui; Li, Zhen; Zhang, Dongkun; Karniadakis, George Em
分享
收藏
A multiscale study of density-driven flow with dissolution in porous media
ADVANCES IN WATER RESOURCES
IF
4.2
2020-08-01
8
PRE
AI
Meng, Xuhui; Sun, Haoran; Guo, Zhaoli; Yang, Xiaofan
分享
收藏
Simulating flow in porous media using the lattice Boltzmann method: Intercomparison of single-node boundary schemes from benchmarking to application
使用格子Boltzmann方法模拟多孔介质中的流动: 从基准到应用的单节点边界方案的相互比较
ADVANCES IN WATER RESOURCES
IF
4.2
2020-07-01
11
PRE
AI
Meng, Xuhui; Wang, Liang; Zhao, Weifeng; Yang, Xiaofan
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
G
George Em Karniadakis
H 指数: 130 · 论文数: 1.3K
D
Daniel J. Smıth
H 指数: 90 · 论文数: 652
E
Ellen Kuhl
H 指数: 83 · 论文数: 507
Z
Zhaoli Guo
H 指数: 60 · 论文数: 356
C
Chao Xu
H 指数: 43 · 论文数: 355
查看更多