I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Quantitative Analysis of Meteorite Elements Based on the Mu..:
Wang, Hongpeng
;
Xin, Yingjian
;
Fang, Peipei
...
Chemosensors. 11 (2023) 11 - p. 567 , 2023
Link:
https://doi.org/10.3390/chemosensors11110567
RT Journal T1
Quantitative Analysis of Meteorite Elements Based on the Multidimensional Scaling–Back Propagation Neural Network Algorithm Combined with Raman Mapping-Assisted Micro-Laser Induced Breakdown Spectroscopy
UL https://suche.suub.uni-bremen.de/peid=cr-10.3390_chemosensors11110567&Exemplar=1&LAN=DE A1 Wang, Hongpeng A1 Xin, Yingjian A1 Fang, Peipei A1 Wang, Yian A1 Duan, Mingkang A1 Wu, Wenming A1 Yang, Ruidong A1 Liu, Sicong A1 Zhang, Liang A1 Wan, Xiong PB MDPI AG YR 2023 SN 2227-9040 JF Chemosensors VO 11 IS 11 SP 567 LK http://dx.doi.org/https://doi.org/10.3390/chemosensors11110567 DO https://doi.org/10.3390/chemosensors11110567 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)