×
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 ... [1]
Creator
Antonov S [1]
Bai Y [1]
Lookman T [1]
Su YJ [1]
Wang CX [1]
Wen C [1]
More...
Document Type
Journal ar... [1]
Date Issued
2019 [1]
Language
英语 [1]
Source Publication
ACTA MATER... [1]
Indexed By
EI [1]
SCI [1]
Funding Project
111 projec... [1]
Los Alamos... [1]
National K... [1]
National N... [1]
Funding Organization
111 projec... [1]
Los Alamos... [1]
National K... [1]
National N... [1]
Thesis Advisor
×
Knowledge Map
IMECH-IR
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
Browse/Search Results:
1-1 of 1
Help
Filters
Source Publication:ACTA MATERIALIA
Creator:Su YJ
First author
Language:英语
Funding Organization:111 project
Funding Project:Los Alamos National Laboratory
Funding Project:National Key Research and Development Program of China[2016YFB0700505]
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
Submit date Ascending
Submit date Descending
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Machine learning assisted design of high entropy alloys with desired property
期刊论文
ACTA MATERIALIA, 2019, 卷号: 170, 页码: 109-117
Authors:
Wen C
;
Zhang Y
;
Wang CX
;
Xue DZ
;
Bai Y
;
Antonov S
;
Dai LH(戴兰宏)
;
Lookman T
;
Su YJ
View
  |  
Adobe PDF(4895Kb)
  |  
Favorite
  |  
View/Download:1464/863
  |  
Submit date:2019/06/10
Multi-principal element alloys
Active learning
Machine learning
Materials genome initiative