Enhanced Cooper Pairing via Random Matrix Phonons in Superconducting Grains

Andrey Grankin, Mohammad Hafezi, Victor Galitski
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Abstract

There is rich experimental evidence that granular superconductors and superconducting films often exhibit a higher transition temperature, $T_{c}$, than that in bulk samples of the same material. This paper suggests that this enhancement hinges on random matrix phonons mediating Cooper pairing more efficiently than bulk phonons. We develop the Eliashberg theory of superconductivity in chaotic grains, calculate the random phonon spectrum and solve the Eliashberg equations numerically. Self-averaging of the effective electron-phonon coupling constant is noted, which allows us to fit the numerical data with analytical results based on a generalization of the Berry conjecture. The key insight is that the phonon density of states, and hence $T_{c}$, shows an enhancement proportional to the ratio of the perimeter and area of the grain - the Weyl law. We benchmark our results for aluminum films, and find an enhancement of $T_{c}$ of about $10\%$ for a randomly-generated shape. A larger enhancement of $T_{c}$ is readily possible by optimizing grain geometries. We conclude by noticing that mesoscopic shape fluctuations in realistic granular structures should give rise to a further enhancement of global $T_{c}$ due to the formation of a percolating Josephson network.
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通过超导晶粒中的随机矩阵声子增强库珀配对
大量实验证据表明,颗粒状超导体和超导薄膜的转变温度 $T_{c}$ 往往高于相同材料的块状样品。本文认为,这种提高取决于随机矩阵声子比体声子更有效地介导库珀配对。我们发展了混沌晶粒超导的埃利亚斯伯格理论,计算了随机声子谱,并对埃利亚斯伯格方程进行了数值求解。我们注意到有效电子-声子耦合常数的自平均化,这使我们能够根据贝里猜想的广义化,将数值数据与分析结果相匹配。关键的洞察力在于声子态密度以及 T_{c}$ 的增强与晶粒的周长和面积之比--韦尔定律--成正比。我们对铝薄膜的结果进行了基准测试,发现对于随机生成的形状,$T_{c}$ 的增强约为 $10\%$。通过优化晶粒几何形状,可以轻松实现更大的 $T_{c}$ 增强。最后,我们注意到,由于形成了渗滤约瑟夫森网络,现实颗粒结构中的介观形状波动应该会进一步增强全局的 $T_{c}$。
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