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
力学研究所 [6]
自动化研究所 [1]
烟台海岸带研究所 [1]
采集方式
OAI收割 [8]
内容类型
期刊论文 [7]
会议论文 [1]
发表日期
2026 [1]
2025 [3]
2024 [3]
2022 [1]
学科主题
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Data-driven enhanced rough contact mechanics: PINN estimation of gap distribution across length scales for partial contacts
期刊论文
OAI收割
TRIBOLOGY INTERNATIONAL, 2026, 卷号: 214, 页码: 7
作者:
Zhou, Yunong
;
Song HX(宋恒旭)
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2025/09/29
Contact mechanics
Rough surface
PINN
Gap distribution
Physics-informed neural network approach to randomly rough surface contact mechanics
期刊论文
OAI收割
TRIBOLOGY LETTERS, 2025, 卷号: 73, 期号: 3, 页码: 9
作者:
Zhou, Yunong
;
Song HX(宋恒旭)
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2025/08/18
Contact mechanics
Rough surface
PINN
Stress distribution
Persson theory
Determining pressure from velocity via physics-informed neural network
期刊论文
OAI收割
EUROPEAN JOURNAL OF MECHANICS B-FLUIDS, 2025, 卷号: 109, 页码: 1-21
作者:
Cai, Zemin
;
Lin, Xiangqi
;
Liu, Tianshu
;
Wu, Fan
;
Wang, Shizhao
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2024/10/08
Pressure
Velocity
PINN
Machine learning
Neural network
Flow
Navier-Stokes equations
Research on Long-Term Time Series Chlorophyll Concentration Inversion Method Based on Multisensor Consistency Transformation
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 28409-28421
作者:
Qin, Yina
;
Cui, Jianyong
;
Guo, Jie
;
Liu, Shanwei
;
Wang, Xiaoqing
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/24
Sensors
Remote sensing
Monitoring
Sea measurements
Reflectivity
Spatiotemporal phenomena
Spatial resolution
Oceans
Biological system modeling
Water quality
Consistency transformation
geostationary ocean color imager (GOCI)-I and GOCI-II satellite
inversion of chlorophyll-a (Chl-a)
long time series
physics-informed neural network (PINN)
Chien-physics-informed neural networks for solving singularly perturbed boundary-layer problems
期刊论文
OAI收割
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2024, 卷号: 45, 期号: 9, 页码: 1467-1480
作者:
Wang, Long
;
Zhang, Lei
;
He, Guowei
;
He GW(何国威)
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2024/10/08
physics-informed neural network (PINN)
singular perturbation
boundary-layer problem
composite asymptotic expansion
O302
基于PINN神经网络模型的NACA0012翼型流场周期性振荡运动的流场重构方法初探
会议论文
OAI收割
中国江苏盐城, 2024-04-08
作者:
刘江硕
;
彭瑞东
;
郑冠男
;
陈军屹
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2025/01/22
深度学习
流体力学
PINN方法
Physical-Informed Neural Network for MPC-Based Trajectory Tracking of Vehicles With Noise Considered
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 3, 页码: 4493-4503
作者:
Jin, Long
;
Liu, Longqi
;
Wang, Xingxia
;
Shang, Mingsheng
;
Wang, Fei-Yue
  |  
收藏
  |  
浏览/下载:84/0
  |  
提交时间:2024/07/03
Mathematical models
Trajectory tracking
Task analysis
Predictive models
Intelligent vehicles
Computational modeling
Trajectory
Artificial systems
computational experiments
model predictive control (MPC) controller
parallel execution (ACP)
physical-informed neural network (PINN)
trajectory tracking tasks
A Direct-Forcing Immersed Boundary Method for Incompressible Flows Based on Physics-Informed Neural Network
期刊论文
OAI收割
Fluids, 2022, 卷号: 7, 期号: 2, 页码: 56
作者:
Huang Y(黄毅)
;
Zhang ZY(张治愚)
;
Zhang X(张星)
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2022/01/27
physics-informed neural networks (PINN)
direct-forcing immersed boundary method
incompressible laminar flow
circular cylinder