Article (Scientific journals)
Predictions of Pinning
Paruch, Patrycja; Ghosez, Philippe
2016In Nature, 534, p. 331
Peer Reviewed verified by ORBi
 

Files


Full Text
2016-Nature534-331.pdf
Publisher postprint (239.89 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Abstract :
[en] A multiscale model has been implemented that provides accurate predictions of the behaviour of ferroelectric materials in electric fields, and might aid efforts to design devices such as sensors and digital memory.
Research center :
CESAM - Complex and Entangled Systems from Atoms to Materials - ULiège
Disciplines :
Physics
Author, co-author :
Paruch, Patrycja;  Université de Genève - UNIGE > Département de Physique de la Matière Condensée (DPMC)
Ghosez, Philippe  ;  Université de Liège > Département de physique > Physique théorique des matériaux
Language :
English
Title :
Predictions of Pinning
Publication date :
2016
Journal title :
Nature
ISSN :
0028-0836
eISSN :
1476-4687
Publisher :
Nature Publishing Group, Basingstoke, United Kingdom
Volume :
534
Pages :
331
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
Tier-1 supercomputer
CÉCI : Consortium des Équipements de Calcul Intensif
Available on ORBi :
since 22 June 2016

Statistics


Number of views
60 (12 by ULiège)
Number of downloads
3 (3 by ULiège)

Scopus citations®
 
3
Scopus citations®
without self-citations
3
OpenCitations
 
3

Bibliography


Similar publications



Contact ORBi