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Full-Text Articles in Engineering
Structural Stability Of Functionalized Silicene Nanoribbons With Normal, Reconstructed, And Hybrid Edges, Sadegh Mehdi Aghaei, Ingrid Torres, Irene Calizo
Structural Stability Of Functionalized Silicene Nanoribbons With Normal, Reconstructed, And Hybrid Edges, Sadegh Mehdi Aghaei, Ingrid Torres, Irene Calizo
Electrical and Computer Engineering Faculty Publications
Silicene, a novel graphene-like material, has attracted a significant attention because of its potential applications for nanoelectronics. In this paper, we have theoretically investigated the structural stability of edge-hydrogenated and edge-fluorinated silicene nanoribbons (SiNRs) via first-principles calculations. Various edge forms of SiNRs including armchair edge, zigzag edge, Klein edge, reconstructed Klein edge, reconstructed pentagon-heptagon edge, and hybrid edges have been considered. It has been found that fully fluorinated Klein edge SiNRs, in which each edge Si atom is terminated by three fluorine atoms, are the most stable structure. We also discovered that a hybrid edge structure of trihydrogenated Klein edge …
Learn To Rank Images: A Unified Probabilistic Hypergraph Model For Visual Search, Kaiman Zeng, Nansong Wu, Arman Sargolzaei, Kang Yen
Learn To Rank Images: A Unified Probabilistic Hypergraph Model For Visual Search, Kaiman Zeng, Nansong Wu, Arman Sargolzaei, Kang Yen
Electrical and Computer Engineering Faculty Publications
In visual search systems, it is important to address the issue of how to leverage the rich contextual information in a visual computational model to build more robust visual search systems and to better satisfy the user’s need and intention. In this paper, we introduced a ranking model by understanding the complex relations within product visual and textual information in visual search systems. To understand their complex relations, we focused on using graph-based paradigms to model the relations among product images, product category labels, and product names and descriptions. We developed a unified probabilistic hypergraph ranking algorithm, which, modeling the …