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Reliable and interoperable computational molecular engineering: 1. Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions

, , , , , , and . Molecular and Mesoscopic Modelling in Chemical Engineering Data Science, (2020)

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Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions, , , , , , and . Data Analytics and Management in Data Intensive Domains: 22nd International Conference, 1427, Cham, Springer, (2021)Semantic interoperability based on the European Materials and Modelling Ontology and its ontological paradigm: Mereosemiotics, , , , and . Proceedings of 14th WCCM-ECCOMAS 2020, Barcelona, Scipedia, (2021)Semantic Interoperability and Characterization of Data Provenance in Computational Molecular Engineering, , , , , , , , , and 4 other author(s). Journal of Chemical & Engineering Data, 65 (3): 1313--1329 (December 2019)Ontologies for the Virtual Materials Marketplace., , , , , , , , , and 6 other author(s). CoRR, (2019)Reliable and interoperable computational molecular engineering: 1. Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions, , , , , , and . Molecular and Mesoscopic Modelling in Chemical Engineering Data Science, (2020)Pragmatic interoperability and translation of industrial engineering problems into modelling and simulation solutions, , , , , , and . (2020)Ontology-based semantic interoperability on the Virtual Materials Marketplace, , , , , , , , , and 15 other author(s). Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice, page 134-137. Aachen, CEUR-WS, (2020)Semantic interoperability and characterization of data provenance in computational molecular engineering, , , , , , , , , and 4 other author(s). Journal of Chemical & Engineering Data, 65 (3): 1313-1329 (2020)Characterization of data provenance in computational engineering by an ontological representation of simulation workflows, , , , , , , , and . Data Analytics and Management in Data Intensive Domains: Proceedings of the XXI.\ International Conference (DAMDID/RCDL 2019), page 493-494. Kazan Federal University, (2019)