Downloads provided by UsageCounts
doi: 10.48550/arxiv.2106.15136 , 10.5281/zenodo.5076455 , 10.5281/zenodo.5076454 , 10.5445/ir/1000134430
arXiv: 2106.15136
handle: 11584/321823
doi: 10.48550/arxiv.2106.15136 , 10.5281/zenodo.5076455 , 10.5281/zenodo.5076454 , 10.5445/ir/1000134430
arXiv: 2106.15136
handle: 11584/321823
The field of Materials Science is concerned with, e.g., properties and performance of materials. An important class of materials are crystalline materials that usually contain ``dislocations'' -- a line-like defect type. Dislocation decisively determine many important materials properties. Over the past decades, significant effort was put into understanding dislocation behavior across different length scales both with experimental characterization techniques as well as with simulations. However, for describing such dislocation structures there is still a lack of a common standard to represent and to connect dislocation domain knowledge across different but related communities. An ontology offers a common foundation to enable knowledge representation and data interoperability, which are important components to establish a ``digital twin''. This paper outlines the first steps towards the design of an ontology in the dislocation domain and shows a connection with the already existing ontologies in the materials science and engineering domain.
Condensed Matter - Materials Science, info:eu-repo/classification/ddc/330, 330, ddc:330, Economics, Dislocation Ontology, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Dislocation ontology; Ontology design, Ontology Design
Condensed Matter - Materials Science, info:eu-repo/classification/ddc/330, 330, ddc:330, Economics, Dislocation Ontology, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Dislocation ontology; Ontology design, Ontology Design
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 3 | |
| downloads | 3 |

Views provided by UsageCounts
Downloads provided by UsageCounts