Rodriguez, Rocio, Curado, Manuel, Rodríguez, Francy D., Vicent, Jose F.
Influential Yield Strength of Steel Materials with Return Random Walk Gravity Centrality
Mathematics. 2024, 12(3): 439. https://doi.org/10.3390/math12030439
URI: http://hdl.handle.net/10045/140735
DOI: 10.3390/math12030439
ISSN: 2227-7390
Abstract: 
In complex networks, important nodes have a significant impact, both functional and structural. From the perspective of data flow pattern detection, the evaluation of the importance of a node in a network, taking into account the role it plays as a transition element in random paths between two other nodes, has important applications in many areas. Advances in complex networks and improved data generation are very important for the growth of computational materials science. The search for patterns of behavior of the elements that make up steels through complex networks can be very useful in understanding their mechanical properties. This work aims to study the influence of the connections between the elements of steel and the impact of these connections on their mechanical properties, more specifically on the yield strength. The patterns found in the results show the significance of the proposed approach for the development of new steel compositions.
Keywords:Centrality measure, Complex networks, Random walk, Steel materials
MDPI
info:eu-repo/semantics/article