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
An electron density clustering based adaptive segmentation ..:
Mo, Wenbo
;
Ni, Shuang
;
Zhou, Minjie
...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 314 (2024) - p. 124155 , 2024
Link:
https://doi.org/10.1016/j.saa.2024.124155
RT Journal T1 <Title>An electron density clustering based adaptive segmentation method for protein Raman spectrum calculation</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.saa.2024.124155&Exemplar=1&LAN=DE A1 Mo, Wenbo A1 Ni, Shuang A1 Zhou, Minjie A1 Wen, Jiaxing A1 Qi, Daojian A1 Huang, Jinglin A1 Yang, Yue A1 Xu, Yang A1 Wang, Xuewu A1 Zhao, Zongqing PB Elsevier BV YR 2024 SN 1386-1425 JF Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy VO 314 SP 124155 LK http://dx.doi.org/https://doi.org/10.1016/j.saa.2024.124155 DO https://doi.org/10.1016/j.saa.2024.124155 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
