Abstract Level repulsion and band sorting in phononic crystals
首页> 外文期刊>Journal of the Mechanics and Physics of Solids >Level repulsion and band sorting in phononic crystals
【24h】

Level repulsion and band sorting in phononic crystals

机译:声子晶体的能级排斥和能带分选

获取原文
获取原文并翻译 | 示例
       

摘要

AbstractIn this paper we consider the problem of avoided crossings (level repulsion) in phononic crystals and suggest a computationally efficient strategy to distinguish them from normal cross points. This process is essential for the correct sorting of the phononic bands and, subsequently, for the accurate determination of mode continuation, group velocities, and emergent properties which depend on them such as thermal conductivity. Through explicit phononic calculations using generalized Rayleigh quotient, we identify exact locations of exceptional points in the complex wavenumber domain which results in level repulsion in the real domain. We show that in the vicinity of the exceptional point the relevant phononic eigenvalue surfaces resemble the surfaces of a 2 by 2 parameter-dependent matrix. Along a closed loop encircling the exceptional point we show that the phononic eigenvalues are exchanged, just as they are for the 2 by 2 matrix case. However, the behavior of the associated eigenvectors is shown to be more complex in the phononic case. Along a closed loop around an exceptional point, we show that the eigenvectors can flip signs multiple times unlike a 2 by 2 matrix where the flip of sign occurs only once. Finally, we exploit these eigenvector sign flips around exceptional points to propose a simple and efficient method of distinguishing them from normal crosses and of correctly sorting the band-structure. Our proposed method is roughly an order-of-magnitude faster than the zoom-in method and correctly identifies  > 96% of the cases considered. Both its speed and accuracy can be further improved and we suggest some ways of achieving this. Our method is general and, as such, would be directly applicable to other eigenvalue problems where the eigenspectrum needs to be correctly sorted.
机译: 摘要 在本文中,我们考虑了声子晶体中避免交叉(能级排斥)的问题,并提出了一种计算有效的策略来将它们与正常交叉点区分开。此过程对于正确分类声子带至关重要,随后对于准确确定模式连续性,基团速度和依赖于它们的新兴属性(例如热导率)也至关重要。通过使用广义瑞利商的显式声子计算,我们可以识别出复数波数域中异常点的确切位置,从而在实域中产生电平排斥。我们表明,在例外点附近,相关的声子特征值表面类似于2 x 2参数依赖矩阵的表面。沿着围绕特殊点的闭环,我们显示了声子特征值是交换的,就像2 x 2矩阵的情况一样。但是,在声子情况下,相关特征向量的行为显示更为复杂。沿着一个特殊点附近的闭环,我们表明本征向量可以翻转符号多次,这与2 x 2矩阵不同,在2 x 2矩阵中,符号翻转仅发生一次。最后,我们利用这些特征向量在异常点附近的翻转来提出一种简单有效的方法,以将它们与正常叉进行区分并正确地对能带结构进行分类。我们提出的方法大约比放大方法快一个数量级,并且可以正确识别> 96%的情况。它的速度和准确性都可以进一步提高,我们建议一些实现此目标的方法。我们的方法是通用的,因此可以直接应用于需要正确分类特征谱的其他特征值问题。

著录项

  • 来源
    《Journal of the Mechanics and Physics of Solids》 |2018年第2期|100-112|共13页
  • 作者

    Yan Lu; Ankit Srivastava;

  • 作者单位

    Department of Mechanical, Materials, and Aerospace Engineering;

    Department of Mechanical, Materials, and Aerospace Engineering;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:59:41

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号