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Study of two-particle response and phase changes in strongly correlated systems using Dynamical Mean Field Theory

机译:利用动力学平均场理论研究强相关系统中的两粒子响应和相变

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摘要

The study of strongly correlated materials is currently perhaps one of the most active areas of research in condensed matter physics. Strongly correlated materials contain localized electronic states which are often hybridized with more itinerant electrons. This interplay between localized and delocalized degrees of freedom means that these compounds have highly complex phase diagrams which makes these compounds very challenging to understand from a theoretical standpoint. Computer simulations have proved to be an invaluable tool in this regard with state of the art ab-initio simulation techniques harnessing the ever-increasing power of modern computers to produce highly accurate descriptions of a variety of strongly correlated materials. One of the most powerful simulation techniques currently in existence is Dynamical Mean Field Theory (DMFT).;This thesis describes this powerful simulation technique and its applications to various material systems, as well as addressing some theoretical questions concerning particular implementations of DMFT. This thesis is divided into two parts. In part 1, we describe the theory behind DMFT and its amalgamation with Density Functional Theory (DFT+DMFT). In chapters 2 and 3, we provide the basic theory behind DFT and DMFT respectively. In chapter 4, we describe how these two methods are merged to give us the computational framework that is used in this thesis, namely DFT+DMFT. Finally, we round off part 1 of the thesis in chapter 5, which provides a description of the Continuous Time Quantum Monte Carlo (CTQMC) impurity solver, which is at the heart of the DFT+DMFT algorithm and is used extensively throughout this thesis.;In part two of the thesis, we apply the DFT+DMFT framework to address some important problems in condensed matter physics. In chapter 6, we study the Magnetic Spectral Function of strongly correlated f-shell materials to understand two important problems in condensed matter physics, namely the volume collapse transition in Cerium and the valence fluctuating state ground state of delta-Pu. In chapter 7, we study the contribution of lattice parameters and electronic entropy to study the decades-old problem of understanding the spin state transition observed in LaCoO3, where we show how lattice expansion, octahedral rotations and electronic entropy are all essential in stabilizing the high-spin state at high temperature. In chapter 8, we switch to studying a more theoretical problem by looking at the problems with using the highly popular constrained Random Phase Approximation (cRPA) method to estimate the screening of local inter-electronic repulsion in strongly correlated systems. We show that cRPA systematically underestimates screening in such systems which makes it an unsuitable method for estimating the repulsion parameter (U) used in impurity solvers. We then develop an alternate method to estimate the screening using the full local polarization which overcomes many of these limitations. Chapter 9 contains all the conclusions obtained in this thesis, followed by references and appendices.
机译:目前,强相关材料的研究可能是凝聚态物理研究中最活跃的领域之一。高度相关的材料包含局部电子态,这些电子态通常与更多的流动电子混合。局部和非局部自由度之间的相互作用意味着这些化合物具有高度复杂的相图,这使这些化合物从理论上很难理解。在这方面,计算机仿真已被证明是一种无价的工具,利用先进的从头开始仿真技术,利用现代计算机不断增强的功能来生成各种高度相关材料的高精度描述。动态平均场理论(DMFT)是当前存在的最强大的仿真技术之一。本文描述了这种强大的仿真技术及其在各种材料系统中的应用,并解决了一些与DMFT的特定实现有关的理论问题。本文分为两个部分。在第1部分中,我们描述了DMFT背后的理论及其与密度泛函理论(DFT + DMFT)的合并。在第二章和第三章中,我们分别提供了DFT和DMFT背后的基本理论。在第四章中,我们描述了这两种方法如何合并以提供本文所使用的计算框架,即DFT + DMFT。最后,我们在第5章中舍入了论文的第1部分,该部分提供了对连续时间量子蒙特卡洛(CTQMC)杂质求解器的描述,它是DFT + DMFT算法的核心,在整个论文中得到了广泛的使用。 ;在论文的第二部分,我们应用DFT + DMFT框架来解决凝聚态物理中的一些重要问题。在第6章中,我们研究了高度相关的f壳材料的磁谱函数,以了解凝聚态物理中的两个重要问题,即铈中的体积塌陷跃迁和δ-Pu的价态起伏态基态。在第7章中,我们研究了晶格参数和电子熵的贡献,以研究了解LaCoO3中观察到的自旋态跃迁已有数十年历史的问题,其中我们展示了晶格扩展,八面体旋转和电子熵对于稳定高能态至关重要。高温下处于自旋状态。在第8章中,我们转向研究更理论上的问题,方法是使用高度流行的约束随机相位近似(cRPA)方法来估计在强相关系统中局部电子间排斥的筛选,以解决这些问题。我们表明,cRPA系统地低估了此类系统中的筛选,这使其成为估计杂质求解器中使用的排斥参数(U)的不合适方法。然后,我们开发了另一种方法来使用完全局部极化来估计筛选,从而克服了许多这些局限性。第9章包含本论文中得出的所有结论,然后是参考文献和附录。

著录项

  • 作者

    Chakrabarti, Bismayan.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Condensed matter physics.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 117 p.
  • 总页数 117
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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