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1تقرير
المؤلفون: 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
المصدر: Scientific Data 7, 300 (2020)
مصطلحات موضوعية: Computer Science - Distributed, Parallel, and Cluster Computing, Condensed Matter - Materials Science
URL الوصول: http://arxiv.org/abs/2003.12476
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2تقرير
المؤلفون: Schwaller, Philippe, Petraglia, Riccardo, Zullo, Valerio, Nair, Vishnu H, Haeuselmann, Rico Andreas, Pisoni, Riccardo, Bekas, Costas, Iuliano, Anna, Laino, Teodoro
مصطلحات موضوعية: Computer Science - Machine Learning, Statistics - Machine Learning
URL الوصول: http://arxiv.org/abs/1910.08036
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3تقرير
المؤلفون: Gresch, Dominik, Wu, QuanSheng, Winkler, Georg W., Häuselmann, Rico, Troyer, Matthias, Soluyanov, Alexey A.
المصدر: Phys. Rev. Materials 2, 103805 (2018)
مصطلحات موضوعية: Condensed Matter - Materials Science, Condensed Matter - Mesoscale and Nanoscale Physics, Physics - Computational Physics
URL الوصول: http://arxiv.org/abs/1805.12148
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4
المؤلفون: 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
المصدر: Scientific Data, Vol 7, Iss 1, Pp 1-18 (2020)
Scientific Data
Huber, S P, Zoupanos, S, Uhrin, M, Talirz, L, Kahle, L, Häuselmann, R, Gresch, D, Müller, T, Yakutovich, A V, Andersen, C W, Ramirez, F F, Adorf, C S, Gargiulo, F, Kumbhar, S, Passaro, E, Johnston, C, Merkys, A, Cepellotti, A, Mounet, N, Marzari, N, Kozinsky, B & Pizzi, G 2020, ' AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance ', Scientific Data . https://doi.org/10.1038/s41597-020-00638-4
Scientific data, London : Nature Publishing Groups, 2020, vol. 7, art. no. 300, p. [1-18]مصطلحات موضوعية: FOS: Computer and information sciences, Statistics and Probability, Condensed Matter - Materials Science, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Library and Information Sciences, Article, Computer Science Applications, Education, Computer Science - Distributed, Parallel, and Cluster Computing, Computational methods, Research management, lcsh:Q, Distributed, Parallel, and Cluster Computing (cs.DC), Statistics, Probability and Uncertainty, lcsh:Science, AiiDA, computational methods, automated workflow management, Information Systems
وصف الملف: application/pdf
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5دورية أكاديمية
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6
المؤلفون: Huber, Sebastiaan P., Zoupanos, Spyros, Kahle, Leonid, Uhrin, Martin, Mounet, Nicolas, Häuselmann, Rico Andreas, Kumbhar, Snehal, Talirz, Leopold, Yakutovich, Aliaksandr, Passaro, Elsa, Borelli, Marco, Gargiulo, Fernando, Schütt, Ole, Cepellotti, Andrea, Merkys, Andrius, Kozinsky, Boris, Smit, Berend, VandeVondele, Joost, Schulthess, Thomas, Marzari, Nicola, Pizzi, Giovanni
مصطلحات موضوعية: Materials Cloud, Provenance, AiiDA, Open research data, FAIR, Workflows
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b03dd495f01c3238656f2d55e1d46b6
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7دورية أكاديمية
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8دورية
المصدر: Journal of Chemical Theory and Computation; August 2014, Vol. 10 Issue: 8 p3006-3022, 17p