×
验证码:
换一张
Forgotten Password?
Stay signed in
China Science and Technology Network Pass Registration
×
China Science and Technology Network Pass Registration
Log In
Chinese
|
English
中国科学院力学研究所机构知识库
Knowledge Management System of Institue of Mechanics, CAS
Log In
Register
ALL
ORCID
Title
Creator
Thesis Advisor
Keyword
Document Type
Source Publication
Publisher
Date Issued
Date Accessioned
Indexed By
Funding Project
DOI
Study Hall
Image search
Paste the image URL
Home
Collections
Authors
DocType
Subjects
K-Map
News
Search in the results
Collection
State Key ... [2]
Creator
何国威 [2]
张鑫磊 [2]
Luo, Xiaod... [1]
Xiao, Heng [1]
王士召 [1]
许昭越 [1]
More...
Document Type
Journal ar... [2]
Date Issued
2023 [1]
2022 [1]
Language
英语 [2]
Source Publication
JOURNAL OF... [2]
Indexed By
SCI [2]
EI [1]
Funding Project
NSFC Basic... [1]
National N... [1]
National N... [1]
National N... [1]
Funding Organization
China Post... [1]
NSFC Basic... [1]
NSFC Basic... [1]
National C... [1]
National N... [1]
National N... [1]
More...
Thesis Advisor
×
Knowledge Map
IMECH-IR
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
Browse/Search Results:
1-2 of 2
Help
Filters
Source Publication：JOURNAL OF COMPUTATIONAL PHYSICS
Creator：何国威
First author
Creator：张鑫磊
Community：非线性力学国家重点实验室
First author affiliation
The first author
Corresponding Author
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Author Ascending
Author Descending
Title Ascending
Title Descending
Issue Date Ascending
Issue Date Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
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
Authors:
Zhang XL(张鑫磊)
;
Xiao, Heng
;
Luo, Xiaodong
;
He GW(何国威)
Adobe PDF(7111Kb)
|
Favorite
|
View/Download：52/4
|
Submit date：2023/09/05
Ensemble Kalman method
Turbulence modeling
Direct data
Indirect data
Artificial neural network based response surface for data-driven dimensional analysis
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 卷号: 459, 页码: 19
Authors:
Xu ZY(许昭越)
;
Zhang XL(张鑫磊)
;
Wang SZ(王士召)
;
He GW(何国威)
Adobe PDF(2241Kb)
|
Favorite
|
View/Download：375/34
|
Submit date：2022/07/18
Artificial neural network
Response surface
Data-driven dimensional analysis
Machine learning
Fluid-structure interaction
