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| Titolo: |
Nature computational science
|
| Pubblicazione: | England |
| New York, N.Y. : , : Springer Nature, , [2021]- | |
| Descrizione fisica: | 1 online resource |
| Soggetto topico: | Science - Data processing |
| Technology - Data processing | |
| Science - Mathematics | |
| High performance computing | |
| Computing Methodologies | |
| Science | |
| Technology | |
| Models, Theoretical | |
| Soggetto genere / forma: | Periodical |
| Periodicals. | |
| ISSN: | 2662-8457 |
| Note generali: | Refereed/Peer-reviewed |
| Sommario/riassunto: | "Nature Computational Science is a multidisciplinary journal that focuses on the development and use of computational techniques and mathematical models, as well as their application to address complex problems across a range of scientific disciplines. The journal publishes both fundamental and applied research, from groundbreaking algorithms, tools and frameworks that notably help to advance scientific research, to methodologies that use computing capabilities in novel ways to find new insights and solve challenging real-world problems. By doing so, the journal creates a unique environment to bring together different disciplines to discuss the latest advances in computational science. "--publisher's website, viewed February 4, 2021. |
| Titolo abbreviato (Periodici): | Nat Comput Sci |
| Nat. Comput. Sci. | |
| Altri titoli varianti: | Computational science |
| Titolo autorizzato: | Nature computational science ![]() |
| Formato: | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910556900303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |