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科研机构
力学研究所 [10]
内容类型
期刊论文 [10]
发表日期
2023 [10]
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发表日期:2023
专题:力学研究所
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Collision integrals of electronically excited atoms in air plasmas. I. N-N and O-O interactions
期刊论文
PLASMA SOURCES SCIENCE & TECHNOLOGY, 2023, 卷号: 32, 期号: 12, 页码: 28
作者:
Zhao, Wensheng
;
Hong, Qizhen
;
Yang, Chao
;
Sun, Quanhua
;
Hu, Yuan
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/02
collision integrals
potential energy curves
air plasmas
N-N and O-O interactions
electronic excitation
Physical interpretation of neural network-based nonlinear eddy viscosity models
期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 142, 页码: 13
作者:
Zhang, Xin-Lei
;
Xiao, Heng
;
Jee, Solkeun
;
He, Guowei
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/11/28
Machine learning
Turbulence modeling
Ensemble Kalman inversion
Physical interpretability
Multi-objective optimization for high-performance Fe-based metallic glasses via machine learning approach
期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2023, 卷号: 960, 页码: 170793
作者:
Zhang, Yuxing
;
Xie, Shejuan
;
Guo, Wei
;
Ding, Jun
;
Poh, Leong Hien
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/07/17
Fe-based metallic glass
Machine learning
Critical casting size
Saturation magnetization
Plasticity
Combining direct and indirect sparse data for learning generalizable turbulence models
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112272
作者:
Zhang XL(张鑫磊)
;
Xiao, Heng
;
Luo, Xiaodong
;
He GW(何国威)
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  |  
浏览/下载:19/0
  |  
提交时间:2023/09/05
Ensemble Kalman method
Turbulence modeling
Direct data
Indirect data
Rapid evaluation of capillary pressure and relative permeability for oil-water flow in tight sandstone based on a physics-informed neural network
期刊论文
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2023
作者:
Ji LL(姬莉莉)
;
Xu, Fengyang
;
Lin M(林缅)
;
Jiang WB(江文滨)
;
Cao GH(曹高辉)
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  |  
浏览/下载:9/0
  |  
提交时间:2023/09/05
Two-phase flow
Capillary pressure curve
Relative permeability curve
Tight sandstone
Physics-informed neural network
Force measurement using strain-gauge balance in shock tunnel based on deep learning
期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2023, 卷号: 36, 期号: 8, 页码: 43-53
作者:
Nie SJ(聂少军)
;
Wang YP(汪运鹏)
;
Jiang ZL(姜宗林)
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/02/26
Convolutional neural net-works
Deep learning
Frequency domain analysis
Force measurement
Time domain analysis
Recurrent neural networks
A thermal load identification method based on physics-guided neural network for honeycomb sandwich structures
期刊论文
SMART MATERIALS AND STRUCTURES, 7, 2023, 卷号: 32, 页码: 75008
作者:
Du WQ(杜文琪)
;
Yang LK(杨乐凯)
;
Lu LL(路玲玲)
;
Le J(乐杰)
;
Yu MK(于明凯)
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  |  
浏览/下载:9/0
  |  
提交时间:2023/06/15
thermal load identification
physics-guided neural network
physics-guided loss function
thermal feature parameters
laser irradiation
Inelastic N-2+H-2 collisions and quantum-classical rate coefficients: large datasets and machine learning predictions
期刊论文
EUROPEAN PHYSICAL JOURNAL D, 2023, 卷号: 77, 期号: 7, 页码: 128
作者:
Hong QZ(洪启臻)
;
Storchi, Loriano
;
Bartolomei, Massimiliano
;
Pirani, Fernando
;
Sun QH(孙泉华)
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/09/05
Fatigue life prediction based on a deep learning method for Ti-6Al-4V fabricated by laser powder bed fusion up to very-high-cycle fatigue regime
期刊论文
INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 172, 页码: 107645
作者:
Jia, Yinfeng
;
Fu, Rui
;
Ling, Chao
;
Shen, Zheng
;
Zheng, Liang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/06/15
Fatigue life prediction
Deep learning method
Laser powder bed fusion
Ti-6Al-4V
Very -high -cycle fatigue
Learning Neural-Network-Based Turbulence Models for External Transonic Flows Using Ensemble Kalman Method
期刊论文
AIAA JOURNAL, 2023
作者:
Liu Y(刘毅)
;
Zhang XL(张鑫磊)
;
He GW(何国威)
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/06/15
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