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A. J. Martinez-Mendoza

Publications and source records attributed to A. J. Martinez-Mendoza.

3 recordsLinked to original sources

A Lloyd-model generalization: Conductance fluctuations in one-dimensional disordered systems

We perform a detailed numerical study of the conductance $G$ through one-dimensional (1D) tight-binding wires with on-site disorder. The random configurations of the on-site energies $ε$ of the tight-binding Hamiltonian are characterized by long-tailed distributions: For large $ε$, $P(ε)\sim 1/ε^{1+α}$ with $α\in(0,2)$. Our model serves as a generalization of 1D Lloyd's model, which corresponds to $α=1$. First, we verify that the ensemble average $\left\langle -\ln G\right\rangle$ is proportional to the length of the wire $L$ for all values of $α$, providing the localization length $ξ$ from $\left\langle-\ln G\right\rangle=2L/ξ$. Then, we show that the probability distribution function $P(G)$ is fully determined by the exponent $α$ and $\left\langle-\ln G\right\rangle$. In contrast to 1D wires with standard white-noise disorder, our wire model exhibits bimodal distributions of the conductance with peaks at $G=0$ and $1$. In addition, we show that $P(\ln G)$ is proportional to $G^β$, for $G\to 0$, with $β\leα/2$, in agreement to previous studies.

cond-mat.dis-nn↗

Universality in the spectral and eigenfunction properties of random networks

By the use of extensive numerical simulations we show that the nearest-neighbor energy level spacing distribution $P(s)$ and the entropic eigenfunction localization length of the adjacency matrices of Erdős-Rényi (ER) {\it fully} random networks are universal for fixed average degree $ξ\equiv αN$ ($α$ and $N$ being the average network connectivity and the network size, respectively). We also demonstrate that Brody distribution characterizes well $P(s)$ in the transition from $α=0$, when the vertices in the network are isolated, to $α=1$, when the network is fully connected. Moreover, we explore the validity of our findings when relaxing the randomness of our network model and show that, in contrast to standard ER networks, ER networks with {\it diagonal disorder} also show universality. Finally, we also discuss the spectral and eigenfunction properties of small-world networks.

cond-mat.dis-nn↗

Scattering and transport properties of tight-binding random networks

We study numerically scattering and transport statistical properties of tight-binding random networks characterized by the number of nodes $N$ and the average connectivity $α$. We use a scattering approach to electronic transport and concentrate on the case of a small number of single-channel attached leads. We observe a smooth crossover from insulating to metallic behavior in the average scattering matrix elements $\bra |S_{mn}|^2 \ket$, the conductance probability distribution $w(T)$, the average conductance $\bra T \ket$, the shot noise power $P$, and the elastic enhancement factor $F$ by varying $α$ from small ($α\to 0$) to large ($α\to 1$) values. We also show that all these quantities are invariant for fixed $ξ=αN$. Moreover, we proposes a heuristic and universal relation between $\bra |S_{mn}|^2 \ket$, $\bra T \ket$, and $P$ and the disorder parameter $ξ$.

cond-mat.dis-nn↗