학술논문
AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance.
Document Type
Article
Author
Huber, Sebastiaan P.; Zoupanos, Spyros; Uhrin, Martin; Talirz, Leopold; Kahle, Leonid; Häuselmann, Rico; Gresch, Dominik; Müller, Tiziano; Yakutovich, Aliaksandr V.; Andersen, Casper W.; Ramirez, Francisco F.; Adorf, Carl S.; Gargiulo, Fernando; Kumbhar, Snehal; Passaro, Elsa; Johnston, Conrad; Merkys, Andrius; Cepellotti, Andrea; Mounet, Nicolas; Marzari, Nicola
Source
Scientific Data; 9/8/2020, Vol. 7 Issue 1, pN.PAG-N.PAG, 1p
Subject
Language
ISSN
20524463
Abstract
Copyright of Scientific Data is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)