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Information Entropy of Tight-Binding Random Networks with Losses and Gain: Scaling and Universality
We study the localization properties of the eigenvectors, characterized by their information entropy, of tight-binding random networks with balanced losses and gain. The random network model, which is based on Erdős–Rényi (ER) graphs, is defined by three parameters: the network size N, the network c...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514196/ https://www.ncbi.nlm.nih.gov/pubmed/33266802 http://dx.doi.org/10.3390/e21010086 |