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
Speeding Up the Cocrystallization Process: Machine Learning..:
Birolo, Rebecca
;
Bravetti, Federica
;
Alladio, Eugenio
...
Crystal Growth & Design. 23 (2023) 11 - p. 7898-7911 , 2023
Link:
https://doi.org/10.1021/acs.cgd.3c00696
RT Journal T1
Speeding Up the Cocrystallization Process: Machine Learning-Combined Methods for the Prediction of Multicomponent Systems
UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.cgd.3c00696&Exemplar=1&LAN=DE A1 Birolo, Rebecca A1 Bravetti, Federica A1 Alladio, Eugenio A1 Priola, Emanuele A1 Bianchini, Gianluca A1 Novelli, Rubina A1 Aramini, Andrea A1 Gobetto, Roberto A1 Chierotti, Michele R. PB American Chemical Society (ACS) YR 2023 SN 1528-7483 SN 1528-7505 JF Crystal Growth & Design VO 23 IS 11 SP 7898 OP 7911 LK http://dx.doi.org/https://doi.org/10.1021/acs.cgd.3c00696 DO https://doi.org/10.1021/acs.cgd.3c00696 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)