中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [4]
力学研究所 [2]
地理科学与资源研究所 [1]
海洋研究所 [1]
武汉岩土力学研究所 [1]
采集方式
OAI收割 [9]
内容类型
期刊论文 [8]
CNKI期刊论文 [1]
发表日期
2025 [3]
2024 [1]
2022 [1]
2021 [3]
2020 [1]
学科主题
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Knowledge-informed deep learning to mitigate bias in joint air pollutant prediction
期刊论文
OAI收割
ENVIRONMENT INTERNATIONAL, 2025, 卷号: 206, 页码: 109915
作者:
Li, Lianfa
;
Khalili, Roxana
;
Lurmann, Frederick
;
Pavlovic, Nathan
;
Wu, Jun
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Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning
期刊论文
OAI收割
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2025, 卷号: 175, 页码: 12
作者:
Lin, Shan
;
Dong, Miao
;
Luo, Hongming
;
Guo, Hongwei
;
Zheng, Hong
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Direct numerical simulation of natural convection based on parameter-input physics-informed neural networks
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2025, 卷号: 236, 页码: 126379
作者:
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A framework of data assimilation for wind flow fields by physics-informed neural networks
期刊论文
OAI收割
APPLIED ENERGY, 2024, 卷号: 371, 页码: 18
作者:
Yan C(闫畅)
;
Xu SF(许盛峰)
;
Sun ZX(孙振旭)
;
Lutz, Thorsten
;
Guo DL(郭迪龙)
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Physics-informed deep-learning parameterization of ocean vertical mixing improves climate simulations
CNKI期刊论文
OAI收割
2022
作者:
Yuchao Zhu
;
Rong-Hua Zhang
;
James N.Moum
;
Fan Wang
;
Xiaofeng Li
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收藏
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Data-driven peakon and periodic peakon solutions and parameter discovery of some nonlinear dispersive equations via deep learning
期刊论文
OAI收割
PHYSICA D-NONLINEAR PHENOMENA, 2021, 卷号: 428, 页码: 15
作者:
Wang, Li
;
Yan, Zhenya
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Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrodinger equation with a potential using the PINN deep learning
期刊论文
OAI收割
PHYSICS LETTERS A, 2021, 卷号: 404, 页码: 7
作者:
Wang, Li
;
Yan, Zhenya
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Solving forward and inverse problems of the logarithmic nonlinear Schrodinger equation with PT-symmetric harmonic potential via deep learning
期刊论文
OAI收割
PHYSICS LETTERS A, 2021, 卷号: 387, 页码: 12
作者:
Zhou, Zijian
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SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
期刊论文
OAI收割
NEURAL NETWORKS, 2020, 卷号: 132, 页码: 166-179
作者:
Jin, Pengzhan
;
Zhang, Zhen
;
Zhu, Aiqing
;
Tang, Yifa
;
Karniadakis, George Em
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