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
Machine Learning Based Methodology to Predict Point Defect ..:
Anus Manzoor
;
Gaurav Arora
;
Bryant Jerome
...
https://www.frontiersin.org/articles/10.3389/fmats.2021.673574/full. , 2021
Link:
https://doi.org/10.3389/fmats.2021.673574
RT Journal T1 <Title>Machine Learning Based Methodology to Predict Point Defect Energies in Multi-Principal Element Alloys</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:73db582f8cc94fa0a9b0dd9df24e4d1e&Exemplar=1&LAN=DE A1 Anus Manzoor A1 Gaurav Arora A1 Bryant Jerome A1 Nathan Linton A1 Bailey Norman A1 Dilpuneet S. Aidhy PB Frontiers Media S.A. YR 2021 K1 multi-principal element alloys K1 machine learning K1 vacancy migration energies K1 vacancy formation energies K1 point defects K1 Technology K1 T JF https://www.frontiersin.org/articles/10.3389/fmats.2021.673574/full LK http://dx.doi.org/https://doi.org/10.3389/fmats.2021.673574 DO https://doi.org/10.3389/fmats.2021.673574 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
