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Data technology in materials modelling

Horsch, Martin Thomas.

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Data technology in materials modelling

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data technology in materials modelling/ by Martin Thomas Horsch ... [et al.].
其他作者:	Horsch, Martin Thomas.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	x, 92 p. :ill., digital ;24 cm.
內容註:	Introduction -- Research data infrastructures and the EngMeta metadata schema -- Virtual Materials Marketplace (VIMMP) -- Semantic technology at the marketplace level -- Semantic technology for simulations and particle-based models -- How to use OSMO: Documentation and Examples.
Contained By:	Springer Nature eBook
標題:	Materials - Computer simulation. -
電子資源:	https://doi.org/10.1007/978-3-030-68597-3
ISBN:	9783030685973

Data technology in materials modelling
Data technology in materials modelling[electronic resource] /by Martin Thomas Horsch ... [et al.]. - Cham :Springer International Publishing :2021. - x, 92 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Introduction -- Research data infrastructures and the EngMeta metadata schema -- Virtual Materials Marketplace (VIMMP) -- Semantic technology at the marketplace level -- Semantic technology for simulations and particle-based models -- How to use OSMO: Documentation and Examples.

Open access.

This open access book discusses advances in semantic interoperability for materials modelling, aiming at integrating data obtained from different methods and sources into common frameworks, and facilitating the development of platforms where simulation services in computational molecular engineering can be provided as well as coupled and linked to each other in a standardized and reliable way. The Virtual Materials Marketplace (VIMMP), which is open to all service providers and clients, provides a framework for offering and accessing such services, assisting the uptake of novel modelling and simulation approaches by SMEs, consultants, and industrial R&D end users. Semantic assets presented include the EngMeta metadata schema for research data infrastructures in simulation-based engineering and the collection of ontologies from VIMMP, including the ontology for simulation, modelling, and optimization (OSMO) and the VIMMP software ontology (VISO)

ISBN: 9783030685973

Standard No.: 10.1007/978-3-030-68597-3doiSubjects--Topical Terms:

595138
Materials
--Computer simulation.

LC Class. No.: TA404.23

Dewey Class. No.: 620.110113

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