Understanding the metallic glasses formation by applying a centrality measure based on betweenness

Rodríguez, Rocío; Curado, Manuel; Tortosa, Leandro; Vicent, José-Francisco

doi:10.1016/j.commatsci.2022.111986

Cited by 1 publication

(1 citation statement)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Note that a direct graph has connections and weights in both directions between each two related nodes-steels. This choice is justified by the suitability of the behaviour of the connections between the alloy chemical elements that make up the steels, in the same way as happened in the elaboration of graphs to evaluate the influence of chemical elements in the formation of glassy materials, as reported in recent research [35].…”

Section: Steel Network Constructionmentioning

confidence: 99%

Influential Yield Strength of Steel Materials with Return Random Walk Gravity Centrality

Rodríguez,

Curado,

Rodríguez

et al. 2024

Mathematics

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Steel Network Constructionmentioning

confidence: 99%