×
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
微重力重点实验室 [1]
Creator
吴笛 [1]
康琦 [1]
段俐 [1]
陈一 [1]
Document Type
Journal ar... [1]
Date Issued
2021 [1]
Language
英语 [1]
Source Publication
PHYSICS OF... [1]
Indexed By
EI [1]
SCI [1]
Funding Project
Manned Spa... [1]
National N... [1]
National N... [1]
Strategic ... [1]
Funding Organization
Manned Spa... [1]
National N... [1]
Strategic ... [1]
Thesis Advisor
×
Knowledge Map
IMECH-IR
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
(Note: the search results are based on claimed items)
Browse/Search Results:
1-1 of 1
Help
Filters
Funding Organization：National Natural Science Foundation of China
Funding Organization：Strategic Priority Research Program on Space Science of the Chinese Academy of Sciences
Funding Project：National Natural Science Foundation of China[12032020]
Author：段俐
First 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
WOS Cited Times Ascending
WOS Cited Times Descending
Issue Date Ascending
Issue Date Descending
Author Ascending
Author Descending
Submit date Ascending
Submit date Descending
Title Ascending
Title Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Machine learning method for the supplement, correction, and prediction of the nonlinear dynamics in pattern formation
期刊论文
PHYSICS OF FLUIDS, 2021, 卷号: 33, 期号: 2, 页码: 17
Authors:
Chen Y(陈一)
;
Wu D(吴笛)
;
Duan L(段俐)
;
Kang Q(康琦)
Adobe PDF(5849Kb)
|
Favorite
|
View/Download：233/68
|
Submit date：2021/04/19
