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arXiv 2005.13571cond-mat.dis-nnquant-ph
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随机-正则图中Anderson转变的放大

Scaling up the Anderson transition in random-regular graphs

M. Pino

摘要:

研究了随机正则图连通格的Anderson转变。我们的结果表明,分形维数是连续的过渡,但在其衍生物发生不连续,这意味着非遍历性的安德森转变附近的金属。临界指数$ν= 1.00 \pm0.02$和临界无序$W= 18.2\pm 0.1$通过缩放的方法。我们的数据支持,只有在零无序的预测相关的高斯Entrance恢复。

英文摘要:

We study the Anderson transition in lattices with the connectivity of a random-regular graph. Our results indicate that fractal dimensions are continuous across the transition, but a discontinuity occurs in their derivatives, implying the non-ergodicity of the metal near the Anderson transition. A critical exponent $ν= 1.00 \pm0.02$ and critical disorder $W= 18.2\pm 0.1$ are found via a scaling approach. Our data support that the predictions of the relevant Gaussian Ensemble are only recovered at zero disorder.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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