Data Technology in Materials Modelling

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...

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Bibliographic Details
Main Authors: Horsch, Martin Thomas, Chiacchiera, Silvia (Author), Cavalcanti, Welchy Leite (Author), Schembera, Björn (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Series:SpringerBriefs in Applied Sciences and Technology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Data Technology in Materials Modelling  |h Elektronische Ressource  |c by Martin Thomas Horsch, Silvia Chiacchiera, Welchy Leite Cavalcanti, Björn Schembera 
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505 0 |a 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 
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653 |a Building materials 
653 |a Structural Materials 
653 |a Materials 
653 |a Computer Application in Administrative Data Processing 
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700 1 |a Cavalcanti, Welchy Leite  |e [author] 
700 1 |a Schembera, Björn  |e [author] 
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520 |a 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)