Microscopic description of magnetic model compounds: from one-dimensional magnetic insulators to three-dimensional itinerant metals

Solid state physics comprises many interesting physical phenomena driven by the complex interplay of the crystal structure, magnetic and orbital degrees of freedom, quantum fluctuations and correlation. The discovery of materials which exhibit exotic phenomena like low dimensional magnetism, superconductivity, thermoelectricity or multiferroic behavior leads to various applications which even directly influence our daily live. For such technical applications and the purposive modification of materials, the understanding of the underlying mechanisms in solids is a precondition. Nowadays DFT based band structure programs become broadly available with the possibility to calculate systems with several hundreds of atoms in reasonable time scales and high accuracy using standard computers due to the rapid technical and conceptional development in the last decades. These improvements allow to study physical properties of solids from their crystal structure and support the search for underlying mechanisms of different phenomena from microscopic grounds. This thesis focuses on the theoretical description of low dimensional magnets and intermetallic compounds. We combine DFT based electronic structure and model calculations to develop the magnetic properties of the compounds from microscopic grounds. The developed, intuitive pictures were challenged by model simulations with various experiments, probing microscopic and macroscopic properties, such as thermodynamic measurements, high field magnetization, nuclear magnetic resonance or electron spin resonance experiments. This combined approach allows to investigate the close interplay of the crystal structure and the magnetic properties of complex materials in close collaboration with experimentalists. In turn, the systematic variation of intrinsic parameters by substitution or of extrinsic factors, like magnetic field, temperature or pressure is an efficient way to probe the derived models. Especially pressure allows a continuous change of the crystal structure on a rather large energy scale without the chemical complexity of substitution, thus being an ideal tool to consistently alter the electronic structure in a controlled way. Our theoretical results not only provide reliable descriptions of real materials, exhibiting disorder, partial site occupation and/or strong correlations, but also predict fascinating phenomena upon extreme conditions. In parts this theoretical predictions were already confirmed by own experiments on large scale facilities. Whereas in the first part of this work the main purpose was to develop reliable magnetic models of low dimensional magnets, in the second part we unraveled the underlying mechanism for different phase transitions upon pressure. In more detail, the first part of this thesis is focused on the magnetic ground states of spin 1/2 transition metal compounds which show fascinating phase diagrams with many unusual ground states, including various types of magnetic order, like helical states exhibiting different pitch angles, driven by the intimate interplay of structural details and quantum fluctuations. The exact arrangement and the connection of the magnetically active building blocks within these materials determine the hybridization, orbital occupation, and orbital orientation, this way altering the exchange paths and strengths of magnetic interaction within the system and consequently being crucial for the formation of the respective ground states. The spin 1/2 transition metal compounds, which have been investigated in this work, illustrate the great variety of exciting phenomena fueling the huge interest in this class of materials. We focused on cuprates with magnetically active CuO4 plaquettes, mainly arranged into edge sharing geometries. The influence of structural peculiarities, as distortion, folding, changed bonding angles, substitution or exchanged ligands has been studied with respect to their relevance for the magnetic ground state. Besides the detailed description of the magnetic ground states of selected compounds, we attempted to unravel the origin for the formation of a particular magnetic ground state by deriving general trends and relations for this class of compounds. The details of the treatment of the correlation and influence of structural peculiarities like distortion or the bond angles are evaluated carefully. In the second part of this work we presented the results of joint theoretical and experimental studies for intermetallic compounds, all exhibiting an isostructural phase transition upon pressure. Many different driving forces for such phase transitions are known like quantum fluctuations, valence instabilities or magnetic ordering. The combination of extensive computational studies and high pressure XRD, XAS and XMCD experiments using synchrotron radiation reveals completely different underlying mechanism for the onset of the phase transitions in YCo5, SrFe2As2 and EuPd3Bx. This thesis demonstrates on a series of complex compounds that the combination of ab-initio electronic structure calculations with numerical simulations and with various experimental techniques is an extremely powerful tool for a successful description of the intriguing quantum phenomena in solids. This approach is able to reduce the complex behavior of real materials to simple but appropriate models, this way providing a deep understanding for the underlying mechanisms and an intuitive picture for many phenomena. In addition, the close interaction of theory and experiment stimulates the improvement and refinement of the methods in both areas, pioneering the grounds for more and more precise descriptions. Further pushing the limits of these mighty techniques will not only be a precondition for the success of fundamental research at the frontier between physics and chemistry, but also enables an advanced material design on computational grounds.:Contents List of abbreviations 1. Introduction 2. Methods 2.1. Electronic structure and magnetic models for real compounds 2.1.1. Describing a solid 2.1.2. Basic exchange and correlation functionals 2.1.3. Strong correlations 2.1.4. Band structure codes 2.1.5. Disorder and vacancies 2.1.6. Models on top of DFT 2.2. X-ray diffraction and x-ray absorption at extreme conditions 2.2.1. Diamond anvil cells 2.2.2. ID09 - XRD under pressure 2.2.3. ID24 - XAS and XMCD under pressure 3. Low dimensional magnets 3.1. Materials 3.1.1 AgCuVO4 - a model compound between two archetypes of Cu-O chains 3.1.2 Li2ZrCuO4 - in close vicinity to a quantum critical point 3.1.3 PbCuSO4(OH)2 -magnetic exchange ruled by H 3.1.4 CuCl2 and CuBr2 - flipping magnetic orbitals by crystal water 3.1.5 Na3Cu2SbO6 and Na2Cu2TeO6 - alternating chain systems 3.1.6 Cu2(PO3)2CH2 - magnetic vs. structural dimers 3.1.7 Cu2PO4OH - orbital order between dimers and chains 3.1.8 A2CuEO6 - an new family of spin 1/2 square lattice compounds 3.2. General trends and relations 3.2.1. Approximation for the treatment of strong correlation 3.2.2. Structural elements 4. Magnetic intermetallic compounds under extreme conditions 115 4.1. Itinerant magnets 4.1.1. YCo5 - a direct proof for a magneto elastic transition by XMCD 4.1.2. SrFe2As2 - symmetry-preserving lattice collapse 4.2. Localized magnets 4.2.1. EuPd3Bx - valence transition under doping and pressure 5. Summary and outlook A. Technical details B. Crystal Structures C. Supporting Material Bibliography List of Publications Acknowledgment

High Throughput Methods in the Synthesis, Characterization, and Optimization of Porous Materials

Porous materials are widely employed in a large range of applications, in particular, for storage, separation, and catalysis of fine chemicals. Synthesis, characterization, and pre- and post-synthetic computer simulations are mostly carried out in a piecemeal and ad hoc manner. Whilst high throughput approaches have been used for more than 30 years in the porous material fields, routine integration of experimental and computational processes is only now becoming more established. Herein, important developments are highlighted and emerging challenges for the community identified, including the need to work toward more integrated workflows

Systematische Transaction-Level-Kommunikations-Modellierung mit SystemC

An emerging approach to embedded system design is to assemble them from a library of hardware and software component models (IP, intellectual property) using a system description language, such as SystemC. SystemC allows describing the communication among IPs in terms of abstract operations (transactions). The promise is that with transaction-level modeling (TLM), future systems-on-chip with one billion transistors and more can be composed out of IPs as simply as playing with LEGO bricks. However, reality is far out. In fact, each IP vendor promotes another proprietary interface standard and the provided design tools lack compatibility, such that heterogeneous IPs cannot be integrated efficiently. A novel generic interconnect fabric for TLM is presented which aims at enabling inter-operation between models of different levels of abstraction (mixed-mode) and models with different interfaces (heterogeneous components), with as little overhead as possible. A generic, protocol independent representation of transactions is developed, among with an abstraction level formalism. This approach is shown to support systematic simulation of state-of-the-art buses and networks-on-chip such as IBM CoreConnect and PCI Express over several levels of TLM abstraction. A layered simulation framework for SystemC, GreenBus, is developed to examine the proposed concepts. The thesis discusses new implementation techniques for communication modeling with SystemC which outperform the existing approaches in terms of flexibility, simulation accuracy, and performance. Based on these techniques, advanced concepts for TLM-based hardware/software co-design and FPGA prototyping are examined. Several experiments and a video processor case study highlight the efficiency of the approach and show its applicability in a TLM design flow.Eingebettete Systeme werden zunehmend auf Basis vorgefertigter Hard- und Softwarebausteine entwickelt, die in Form von Modellen (IP, Intellectual Property) vorliegen. Hierzu werden Systembeschreibungssprachen wie SystemC eingesetzt. SystemC ermöglicht, die Kommunikation zwischen IPs durch abstrakte Operationen, sog. Transaktionen zu beschreiben. Mit dieser Transaction-Level-Modellierung (TLM) sollen auch zukünftige Systeme mit 1 Milliarde Transistoren und mehr effizient entwickelt werden können. Idealerweise sollte das Hantieren mit IPs dabei so einfach sein wie das Spielen mit LEGO-Steinen. In der Realität sind jedoch IPs unterschiedlicher Hersteller nicht ohne weiteres integrierbar, und auch die Entwurfswerkzeuge sind nicht kompatibel. In dieser Doktorarbeit wird ein neuer, generischer Ansatz für die Transaction-Level-Modellierung mit SystemC vorgestellt, der Kommunikation zwischen Modellen auf unterschiedlichen Abstraktionsebenen (Mixed-Mode) und mit unterschiedlichen Schnittstellen (heterogene Komponenten) möglich macht. Der zusätzlich benötigte Simulations- und Code-Aufwand ist minimal. Ein protokollunabhängiges Transaktionsmodell und ein formaler Ansatz zur Beschreibung von Abstraktionsebenen werden vorgestellt, mit denen verschiedenartige Busse und Networks-on-Chip wie IBM CoreConnect und PCI Express auf verschiedenen TLM-Abstraktionsebenen simuliert werden können. Ein modulares Simulationsframework für SystemC wird entwickelt (GreenBus), um die vorgeschlagenen Konzepte zu untersuchen. Anhand von GreenBus werden neue Implementierungstechniken diskutiert, die den existierenden Ansätzen in Flexibilität, Simulationsgenauigkeit und -geschwindigkeit überlegen sind. Die Vor- und Nachteile der entwickelten Techniken werden mit Experimenten belegt, und eine Videoprozessor-Fallstudie demonstriert die Effizienz des Ansatzes in einem TLM-basierten Entwurfsfluss

Evolutionary genomics : statistical and computational methods

This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results. Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward

Evolutionary Genomics

This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results. Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward

Kvantově chemické pojetí návrhu léčiv

Výpočetní metody jsou nedílnou součástí moderního farmaceutického výzkumu. Počítačový návrh léčiv si klade za cíl snížit čas a náklady spjaté s vývojem léčiva a také detailněji porozumět vazbě inhibitoru k danému biologickému cíli. Kvůli komplikovanosti biologických systémů a potřebě správného popisu nekovalentních interakcí nutných k molekulárnímu rozpoznávání je přesnost běžně používaných molekulově mechanických (MM) metod na hraně spolehlivosti. Na druhou stranu zde vzrůstá tendence používání kvantově mechanických (QM) metod v různých fázích vývoje léčiv díky rostoucím výpočetním možnostem. Tato disertační práce se zabývá aplikací kvantově mechanických metod pro věrný popis mezimolekulových komplexů a jejich interakcí. Tato práce zahrnuje osm původních publikací rozdělených do tří témat a doprovodný text, jenž si klade za cíl zdůraznit některé závěry plynoucí z této práce. V první řadě je vysoce přesnými kvantově mechanickými metodami studována povaha neklasických nekovalentních interakcí, tzv. vazebné interakce pomocí sigma díry. Síla a původ halogenové, chalkogenové a pniktogenové vazby v modelových systémech z rozšířených databází molekul jsou zkoumány přesnou metodou vázaných klastrů (CCSD(T)/CBS) a symetricky adaptovanou poruchovou teorií (SAPT). Druhá část se věnuje třem farmaceuticky...Computational approaches have become an established and valuable component of pharmaceutical research. Computer-aided drug design aims to reduce the time and cost of the drug development and also to bring deeper insight into the inhibitor binding to its target. The complexity of biological systems together with a need of proper description of non-covalent interactions involved in molecular recognition challenges the accuracy of commonly used molecular mechanical methods (MM). There is on the other side a growing interest of utilizing quantum mechanical (QM) methods in several stages of drug design thanks to increased computational resources. This doctoral thesis's topic is the QM-based methodology for the reliable treatement of intermolecular interactions. It consists of eight original publications devided into three topics and an accompanying text that aims to emphasize selected outcomes of the work. Firstly, the nature of nonclassical non-covalent interactions - so called σ-hole bonding - is studied by high-level QM methods. The strength and origin of halogen-, chalcogen- and pnicogen bonded model systems in extended datasets are accurately explored by coupled cluster QM method (CCSD(T)/CBS) and symmetry adapted perturbation theory (SAPT). The second part is devoted to three pharmaceutically...Katedra fyzikální a makromol. chemieDepartment of Physical and Macromolecular ChemistryFaculty of SciencePřírodovědecká fakult

2016 International Land Model Benchmarking (ILAMB) Workshop Report

As earth system models (ESMs) become increasingly complex, there is a growing need for comprehensive and multi-faceted evaluation of model projections. To advance understanding of terrestrial biogeochemical processes and their interactions with hydrology and climate under conditions of increasing atmospheric carbon dioxide, new analysis methods are required that use observations to constrain model predictions, inform model development, and identify needed measurements and field experiments. Better representations of biogeochemistryclimate feedbacks and ecosystem processes in these models are essential for reducing the acknowledged substantial uncertainties in 21st century climate change projections