logo
科言猫学术研究的AI总结
language
手机端手机端
  • Phone Feature微信小程序
简体中文简体中文
notice消息通知
博客博客
delete
arrow
返回
N

Nanzhe Wang

Heriot Watt University

17H指数
42论文数
1.1K被引数
收录论文 18
发表时间
logo
AUTOSURROGATE: An LLM-driven multi-agent framework for autonomous construction of deep learning surrogate models in subsurface flowAUTOSURROGATE：一种由大型语言模型驱动的多智能体框架，用于自主构建地下流深度学习代理模型
errAdvanced Engineering Informatics
IF9.9
err2026-07-01
err0
PREAI
errLiu, Jiale; Wang, Nanzhe
err分享
err收藏
Generative Subsurface Flow Modeling With Pretrained Diffusion Model and Training-Free Knowledge Alignment基于预训练扩散模型和无训练知识对齐的生成型次表面流建模
errGEOPHYSICAL RESEARCH LETTERS
IF4.6
err2025-11-21
err0
errOAAI
errWang, Zhongzheng; Chen, Yuntian; Wang, Nanzhe; Chen, Guodong; Zhang, Dongxiao
err分享
err收藏
Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability基于深度学习的渗透率不确定地热储层闭环井控优化
errRENEWABLE ENERGY
IF9.1
err2023-07-01
err11
errOAAI
errWang, Nanzhe; Chang, Haibin; Kong, Xiang-Zhao; Zhang, Dongxiao
err分享
err收藏
GANSim-surrogate: An integrated framework for stochastic conditional geomodelling
errJOURNAL OF HYDROLOGY
IF6.3
err2023-05-01
err9
PREAI
errSong, Suihong; Zhang, Dongxiao; Mukerji, Tapan; Wang, Nanzhe
err分享
err收藏
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network
errJOURNAL OF HYDROLOGY
IF6.3
err2022-10-01
err13
errOAAI
errXu, Rui; Zhang, Dongxiao; Wang, Nanzhe
err分享
err收藏
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network基于理论指导的卷积神经网络的多孔介质两相流代理和逆建模
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2022-10-01
err29
errOAAI
errWang, Nanzhe; Chang, Haibin; Zhang, Dongxiao
err分享
err收藏
A Lagrangian dual-based theory-guided deep neural network
errCOMPLEX & INTELLIGENT SYSTEMS
IF4.6
err2022-04-25
err11
errOAAI
errRong, Miao; Zhang, Dongxiao; Wang, Nanzhe
err分享
err收藏
Deep Learning of Two-Phase Flow in Porous Media via Theory-Guided Neural Networks
errSPE JOURNAL
IF3
err2021-12-20
err16
PREAI
errLi, Jian; Zhang, Dongxiao; Wang, Nanzhe; Chang, Haibin
err分享
err收藏
Theory-guided Auto-Encoder for surrogate construction and inverse modeling
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-11-01
err53
errOAAI
errWang, Nanzhe; Chang, Haibin; Zhang, Dongxiao
err分享
err收藏
Theory-guided full convolutional neural network: An efficient surrogate model for inverse problems in subsurface contaminant transport
errADVANCES IN WATER RESOURCES
IF4.2
err2021-11-01
err24
errOAAI
errHe, Tianhao; Wang, Nanzhe; Zhang, Dongxiao
err分享
err收藏
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-11-01
err20
errOAAI
errXu, Hao; Zhang, Dongxiao; Wang, Nanzhe
err分享
err收藏
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-11-01
err87
errOAAI
errChen, Yuntian; Huang, Dou; Zhang, Dongxiao; Zeng, Junsheng; Wang, Nanzhe; Zhang, Haoran; Yan, Jinyue
err分享
err收藏
Efficient Uncertainty Quantification and Data Assimilation via Theory-Guided Convolutional Neural Network
errSPE JOURNAL
IF3
err2021-08-31
err37
PREAI
errWang, Nanzhe; Chang, Haibin; Zhang, Dongxiao
err分享
err收藏
Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single- and two-phase flow
errJOURNAL OF COMPUTATIONAL PHYSICS
IF3.8
err2021-07-01
err41
errOAAI
errXu, Rui; Zhang, Dongxiao; Rong, Miao; Wang, Nanzhe
err分享
err收藏
Solution of diffusivity equations with local sources/sinks and surrogate modeling using weak form Theory-guided Neural Network
errADVANCES IN WATER RESOURCES
IF4.2
err2021-07-01
err14
PREAI
errXu, Rui; Wang, Nanzhe; Zhang, Dongxiao
err分享
err收藏
Deep-Learning-Based Inverse Modeling Approaches: A Subsurface Flow Example基于深度学习的逆建模方法: 地下水流示例
errJOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
IF4.1
err2021-02-19
err68
errOAAI
errWang, Nanzhe; Chang, Haibin; Zhang, Dongxiao
err分享
err收藏
Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2021-01-01
err51
errOAAI
errWang, Nanzhe; Chang, Haibin; Zhang, Dongxiao
err分享
err收藏
Deep learning of subsurface flow via theory-guided neural network
errJOURNAL OF HYDROLOGY
IF6.3
err2020-05-01
err214
errOAAI
errWang, Nanzhe; Zhang, Dongxiao; Chang, Haibin; Li, Heng
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
李建 封面图
李建 (Jian Li)
H 指数: 78 · 论文数: 844
张东晓 封面图
张东晓 (Dongxiao Zhang)
H 指数: 66 · 论文数: 585
H
Haoran Zhang
H 指数: 56 · 论文数: 553
T
Tapan Mukerji
H 指数: 54 · 论文数: 589
G
Guodong Chen
H 指数: 32 · 论文数: 225
查看更多