Generalized gilat–raubenheimer method for density-of-states calculation in photonic crystals
文献类型：期刊论文
| 作者 | Liu,Boyuan1; Johnson,Steven G2; Joannopoulos,John D3; Lu,Ling1 |
| 刊名 | Journal of optics
 |
| 出版日期 | 2018-03-05 |
| 卷号 | 20期号:4 |
| 关键词 | Density of states Photonic crystal Topological photonics |
| ISSN号 | 2040-8978 |
| DOI | 10.1088/2040-8986/aaae52 |
| 英文摘要 | Abstract an efficient numerical algorithm is the key for accurate evaluation of density of states (dos) in band theory. the gilat–raubenheimer (gr) method proposed in 1966 is an efficient linear extrapolation method which was limited in specific lattices. here, using an affine transformation, we provide a new generalization of the original gr method to any bravais lattices and show that it is superior to the tetrahedron method and the adaptive gaussian broadening method. finally, we apply our generalized gr?method to compute dos of various gyroid photonic crystals of topological degeneracies. |
| 语种 | 英语 |
| WOS记录号 | IOP:2040-8978-20-4-AAAE52 |
| 出版者 | IOP Publishing |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2374007 |
| 专题 | 物理研究所 |
| 作者单位 | 1.Institute of Physics, Chinese Academy of Sciences/Beijing National Laboratory for Condensed Matter Physics, Beijing 100190, People’s Republic of China 2.Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, United States of America 3.Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, United States of America |
| 推荐引用方式 GB/T 7714 | Liu,Boyuan,Johnson,Steven G,Joannopoulos,John D,et al. Generalized gilat–raubenheimer method for density-of-states calculation in photonic crystals[J]. Journal of optics,2018,20(4). |
| APA | Liu,Boyuan,Johnson,Steven G,Joannopoulos,John D,&Lu,Ling.(2018).Generalized gilat–raubenheimer method for density-of-states calculation in photonic crystals.Journal of optics,20(4). |
| MLA | Liu,Boyuan,et al."Generalized gilat–raubenheimer method for density-of-states calculation in photonic crystals".Journal of optics 20.4(2018). |
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