AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

The ever-growing availability of computing power and the sustained development of advanced computational methods have contributed much to recent scientific progress. These developments present new challenges driven by the sheer amount of calculations and data to manage. Next-generation exascale supe...

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Detaylı Bibliyografya
Yayımlandı:Sci Data
Asıl Yazarlar: 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, Kozinsky, Boris, Pizzi, Giovanni
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group UK 2020
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7479590/
https://ncbi.nlm.nih.gov/pubmed/32901044
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41597-020-00638-4
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