An ontological conceptualization of multiscale models

Yang, Aidong; Marquardt, Wolfgang

doi:10.1016/j.compchemeng.2008.11.015

Cited by 59 publications

(36 citation statements)

References 22 publications

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“…In such a case, a model can be represented by a set of relationships and variables, which describe dependencies between material properties and its processing. The need to use a unified language to describe individual components of the modeled system-ontologies-has been repeatedly mentioned in several publications, for example, 15 in the fields of chemistry, 4 biology 16,17 and geography. 18 Currently, a variety of simulation models is known in the field of material science.…”

Section: Ontologies In Materials Modeling Sciencementioning

confidence: 99%

“…In the context of multiscale modeling, this need was discussed by Yang and Marquardt. 4 More recently, the need of a standardized description of material properties was emphasized, and a set of guidelines for such a standard, as well as the main problems to be solved, was presented. 5 The possible application of a VTK-based format of material description, HDF5, was introduced by Schmitz.…”

Section: Introductionmentioning

confidence: 99%

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Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys

Macioł

Regulski

2016

JOM

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We present a process of semantic meta-model development for data management in an adaptable multiscale modeling framework. The main problems in ontology design are discussed, and a solution achieved as a result of the research is presented. The main concepts concerning the application and data management background for multiscale modeling were derived from the AM3 approach-object-oriented Agile multiscale modeling methodology. The ontological description of multiscale models enables validation of semantic correctness of data interchange between submodels. We also present a possibility of using the ontological model as a supervisor in conjunction with a multiscale model controller and a knowledge base system. Multiscale modeling formal ontology (MMFO), designed for describing multiscale models' data and structures, is presented. A need for applying meta-ontology in the MMFO development process is discussed. Examples of MMFO application in describing thermo-mechanical treatment of metal alloys are discussed. Present and future applications of MMFO are described.

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Section: Ontologies In Materials Modeling Sciencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys

Macioł

Regulski

2016

JOM

View full text Add to dashboard Cite

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“…the widely used but certainly not universally adopted 'serial' versus 'concurrent' [24]). During the workshop, three different but partly overlapping classifications where introduced [4,[25][26][27][28] and others exist [12,24,29,30]. A shared view on multiscale modelling and a clear, all-inclusive, and universally adopted classification would be very beneficial to the field of multiscale modelling.…”

Section: What Is Multiscale Modelling?mentioning

confidence: 99%

Multiscale modelling and simulation: a position paper

Hoekstra

Chopard

Coveney

2014

Phil. Trans. R. Soc. A.

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One contribution of 13 to a Theme Issue 'Multi-scale systems in fluids and soft matter: approaches, numerics and applications' . We argue that, despite the fact that the field of multiscale modelling and simulation has enjoyed significant success within the past decade, it still holds many open questions that are deemed important but so far have barely been explored. We believe that this is at least in part due to the fact that the field has been mainly developed within disciplinary silos. The principal topics that in our view would benefit from a targeted multidisciplinary research effort are related to reaching consensus as to what exactly one means by 'multiscale modelling', formulating a generic theory or calculus of multiscale modelling, applying such concepts to the urgent question of validation and verification of multiscale models, and the issue of numerical error propagation in multiscale models. Moreover, we believe that this would, in principle, also lay the foundation for more efficient, well-defined and usable multiscale computing environments. We believe that multidisciplinary research to fill in the gaps is timely, highly relevant, and with substantial potential impact on many scientific disciplines.

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“…Although one can find in the literature a lot of references pertaining to "multiscale modeling", only a few methodological papers (Ingram et al 2004;Dada and Mendes 2011;Yang and Marquardt 2009;Weinan et al 2007) propose a conceptual framework, based on solid and general theoretical grounds. As a matter of fact, for many multiscale applica- tions, methodology is entangled with the specificity of the problem, preventing generalization to other problems.…”

Section: Introductionmentioning

confidence: 99%

Multiscale modeling: recent progress and open questions

Chopard

Falcone

Künzli

et al. 2018

Multiscale and Multidiscip. Model. Exp. and Des.

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Many important scientific problems are inherently multi scale. This is, for instance, the case in models in material science or environmental science. A big challenge is to formulate generic frameworks for multiscale modeling and simulation. Despite its importance, the scientific community still lacks a well-accepted generic methodology to address multiscale computating. We review a recent theoretical framework which aims at filling this gap. We also present new results and extension in relation with scale bridging methods and execution multiscale simulation on HPC systems, and discuss open questions related to this topic.

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An ontological conceptualization of multiscale models

Cited by 59 publications

References 22 publications

Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys

Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys

Multiscale modelling and simulation: a position paper

Multiscale modeling: recent progress and open questions

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