{"title":"再论查克-科丁顿模型的实空间重正化方法改进统计","authors":"Syl Shaw, Rudolf A. Römer","doi":"10.1016/j.physe.2024.116073","DOIUrl":null,"url":null,"abstract":"<div><p>The real-space renormalisation group method can be applied to the Chalker–Coddington model of the quantum Hall transition to provide a convenient numerical estimation of the localisation critical exponent, <span><math><mi>ν</mi></math></span>. Previous such studies found <span><math><mrow><mi>ν</mi><mo>∼</mo><mn>2</mn><mo>.</mo><mn>39</mn></mrow></math></span> which falls considerably short of the current best estimates by transfer matrix (<span><math><mrow><mi>ν</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>593</mn><mfrac><mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>005</mn></mrow><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>006</mn></mrow></mfrac></mrow></math></span>) and exact-diagonalisation studies (<span><math><mrow><mi>ν</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>58</mn><mrow><mo>(</mo><mn>3</mn><mo>)</mo></mrow></mrow></math></span>). By increasing the amount of data 500 fold we can now measure closer to the critical point and find an improved estimate <span><math><mrow><mi>ν</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>51</mn><mfrac><mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>11</mn></mrow><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>11</mn></mrow></mfrac></mrow></math></span>. This deviates only <span><math><mo>∼</mo></math></span>3% from the previous two values and is already better than the <span><math><mo>∼</mo></math></span>7% accuracy of the classical small-cell renormalisation approach from which our method is adapted. We also study a previously proposed mixing of the Chalker–Coddington model with a classical scattering model which is meant to provide a route to understanding why experimental estimates give a lower <span><math><mrow><mi>ν</mi><mo>∼</mo><mn>2</mn><mo>.</mo><mn>3</mn></mrow></math></span>. Upon implementing this mixing into our RG unit, we find only further increases to the value of <span><math><mi>ν</mi></math></span>.</p></div>","PeriodicalId":20181,"journal":{"name":"Physica E-low-dimensional Systems & Nanostructures","volume":"165 ","pages":"Article 116073"},"PeriodicalIF":2.9000,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1386947724001772/pdfft?md5=c9170baec10fa6678b63160e5333c9fa&pid=1-s2.0-S1386947724001772-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Real-space renormalisation approach to the Chalker–Coddington model revisited: Improved statistics\",\"authors\":\"Syl Shaw, Rudolf A. Römer\",\"doi\":\"10.1016/j.physe.2024.116073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The real-space renormalisation group method can be applied to the Chalker–Coddington model of the quantum Hall transition to provide a convenient numerical estimation of the localisation critical exponent, <span><math><mi>ν</mi></math></span>. Previous such studies found <span><math><mrow><mi>ν</mi><mo>∼</mo><mn>2</mn><mo>.</mo><mn>39</mn></mrow></math></span> which falls considerably short of the current best estimates by transfer matrix (<span><math><mrow><mi>ν</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>593</mn><mfrac><mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>005</mn></mrow><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>006</mn></mrow></mfrac></mrow></math></span>) and exact-diagonalisation studies (<span><math><mrow><mi>ν</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>58</mn><mrow><mo>(</mo><mn>3</mn><mo>)</mo></mrow></mrow></math></span>). By increasing the amount of data 500 fold we can now measure closer to the critical point and find an improved estimate <span><math><mrow><mi>ν</mi><mo>=</mo><mn>2</mn><mo>.</mo><mn>51</mn><mfrac><mrow><mo>+</mo><mn>0</mn><mo>.</mo><mn>11</mn></mrow><mrow><mo>−</mo><mn>0</mn><mo>.</mo><mn>11</mn></mrow></mfrac></mrow></math></span>. This deviates only <span><math><mo>∼</mo></math></span>3% from the previous two values and is already better than the <span><math><mo>∼</mo></math></span>7% accuracy of the classical small-cell renormalisation approach from which our method is adapted. We also study a previously proposed mixing of the Chalker–Coddington model with a classical scattering model which is meant to provide a route to understanding why experimental estimates give a lower <span><math><mrow><mi>ν</mi><mo>∼</mo><mn>2</mn><mo>.</mo><mn>3</mn></mrow></math></span>. Upon implementing this mixing into our RG unit, we find only further increases to the value of <span><math><mi>ν</mi></math></span>.</p></div>\",\"PeriodicalId\":20181,\"journal\":{\"name\":\"Physica E-low-dimensional Systems & Nanostructures\",\"volume\":\"165 \",\"pages\":\"Article 116073\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-08-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1386947724001772/pdfft?md5=c9170baec10fa6678b63160e5333c9fa&pid=1-s2.0-S1386947724001772-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica E-low-dimensional Systems & Nanostructures\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1386947724001772\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NANOSCIENCE & NANOTECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica E-low-dimensional Systems & Nanostructures","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386947724001772","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NANOSCIENCE & NANOTECHNOLOGY","Score":null,"Total":0}
Real-space renormalisation approach to the Chalker–Coddington model revisited: Improved statistics
The real-space renormalisation group method can be applied to the Chalker–Coddington model of the quantum Hall transition to provide a convenient numerical estimation of the localisation critical exponent, . Previous such studies found which falls considerably short of the current best estimates by transfer matrix () and exact-diagonalisation studies (). By increasing the amount of data 500 fold we can now measure closer to the critical point and find an improved estimate . This deviates only 3% from the previous two values and is already better than the 7% accuracy of the classical small-cell renormalisation approach from which our method is adapted. We also study a previously proposed mixing of the Chalker–Coddington model with a classical scattering model which is meant to provide a route to understanding why experimental estimates give a lower . Upon implementing this mixing into our RG unit, we find only further increases to the value of .
期刊介绍:
Physica E: Low-dimensional systems and nanostructures contains papers and invited review articles on the fundamental and applied aspects of physics in low-dimensional electron systems, in semiconductor heterostructures, oxide interfaces, quantum wells and superlattices, quantum wires and dots, novel quantum states of matter such as topological insulators, and Weyl semimetals.
Both theoretical and experimental contributions are invited. Topics suitable for publication in this journal include spin related phenomena, optical and transport properties, many-body effects, integer and fractional quantum Hall effects, quantum spin Hall effect, single electron effects and devices, Majorana fermions, and other novel phenomena.
Keywords:
• topological insulators/superconductors, majorana fermions, Wyel semimetals;
• quantum and neuromorphic computing/quantum information physics and devices based on low dimensional systems;
• layered superconductivity, low dimensional systems with superconducting proximity effect;
• 2D materials such as transition metal dichalcogenides;
• oxide heterostructures including ZnO, SrTiO3 etc;
• carbon nanostructures (graphene, carbon nanotubes, diamond NV center, etc.)
• quantum wells and superlattices;
• quantum Hall effect, quantum spin Hall effect, quantum anomalous Hall effect;
• optical- and phonons-related phenomena;
• magnetic-semiconductor structures;
• charge/spin-, magnon-, skyrmion-, Cooper pair- and majorana fermion- transport and tunneling;
• ultra-fast nonlinear optical phenomena;
• novel devices and applications (such as high performance sensor, solar cell, etc);
• novel growth and fabrication techniques for nanostructures