Predictions of Pinning

[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/Unit :

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

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Bibliography

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