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Hypertext and hypermedia work as open-learning material databases.
Identifying suitable materials for a given application can be achieved by screening material databases.
Due to the sheer size of material databases, data curation cannot be performed manually but rather requires a computational workflow.
It is believed that the proposed decision-making model is suitable for linking to material databases and has the potential to enhance the efficiency of computer-aided materials selection systems.
In contrast, tools with the objective to predict the energy consumption in production and disposal are not available apart from the first material databases, such as Eco Materials Adviser in Autodesk.
So far, the material databases needed to take account of these degradations in the design and safe operation of installations mainly rely on long-term irradiation programs in test reactors as well as on mechanical or corrosion testing in specialized hot cells.
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Fig. 8 Schema of material database.
Thus, the proposed work flow becomes the bridge between the material database and designing materials.
Therefore, we propose to use a material database for mapping such information.
The quantification of these material parameters builds up a material database.
The development of a material database to aid the designer is outlined.
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