
Diffuse X-ray Scattering and Models of Disorder
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Content
- Cover
- Titlepage
- Copyright
- Preface
- Preface to second edition
- Contents
- Part I Experiment
- 1 Measurement of diffuse scattering
- 1.1 Introduction
- 1.2 2D data collection
- 1.2.1 Using a linear position-sensitive detector
- 1.2.2 Using image-plates at a synchrotron
- 1.3 3D data collection
- 1.3.1 Using an automatic IP detector
- 1.3.2 Using a CCD detector
- 1.3.3 Single photon-counting hybrid pixel detectors
- 1.4 Diffuse neutron scattering
- 1.4.1 Spallation neutrons I -SXD instrument at ISIS
- 1.4.2 Spallation neutrons II-cross-correlation spectrometer Corelli at SNS
- 1.5 Electron diffraction
- Part II Disorder Models
- 2 Disorder in one dimension
- 2.1 Diffraction intensity
- 2.2 One-dimensional disorder-layer structures
- 2.3 Correlations and short-range order
- 2.4 Restrictions on correlation coefficients
- 3 Particular disorder models
- 3.1 The simple Markov chain
- 3.2 Alternative treatment for Markov chains-stochastic matrices
- 3.3 The 1D Ising model
- 3.4 Models involving second-nearest-neighbour and more distant interactions
- 3.4.1 Linear form
- 3.4.2 Non-linear form
- 3.5 Second-neighbour Ising model
- 4 Displacements in one dimension
- 4.1 General
- 4.2 Perturbed regular lattice
- 4.3 Diffraction from a perturbed regular lattice
- 4.4 Real example of a 1D perturbed regular lattice
- 5 Disorder in higher dimensions
- 5.1 General considerations
- 5.2 A simple 2D model of disorder
- 5.2.1 Simple linear growth model, d= 0
- 5.2.2 Simple growth model with constraint, ?(1-ß) = -ad
- 5.3 Ising models and growth models in 2D
- 5.4 An alternative approach to growth-disorder models
- 5.5 A useful parameterisation of growth-disorder models
- 5.6 General discussion of binary models
- 5.7 Some symmetry considerations
- 5.8 Direct synthesis of disordered distributions
- 6 Displacements in two or three dimensions
- 6.1 Gaussian growth-disorder models in 2D
- 6.2 Gaussian growth-disorder models-examples
- 6.2.1 Simple lattice with small s
- 6.2.2 Lattices with large s-paracrystals
- 6.3 Generalised Gaussian models
- 6.4 Hexagonal paracrystals
- 6.4.1 Effect of the variance, s2L
- 6.4.2 Effect of varying ?T for given ?L
- 6.4.3 Transverse vs longitudinal correlations
- 6.5 Gaussian growth-disorder models in 3D and higher
- 6.6 Conversion of Gaussian to binary variables
- 7 Interactions between occupancies and displacements
- 7.1 General intensity expressions
- 7.2 A possible Ising-like model for occupations and displacements
- 7.3 Use of force models and Monte Carlo simulation
- 7.4 Illustration of the meaning of the different intensity components
- 7.5 Size-effect and multi-site correlations
- Part III Examples Of Real Disordered Systems I
- 8 1,3-dibromo-2,5-diethyl-4,6-dimethylbenzene (Bemb2)
- 8.1 Introduction
- 8.2 Symmetry considerations
- 8.2.1 q = 0 modulations
- 8.2.2 q = 0 modulations
- 8.3 Calculated diffraction patterns
- 8.3.1 The (0 k l) section
- 8.3.2 The (h k barh) section
- 8.4 Displacement modulations
- 8.5 Comparison with correlation description
- 9 p-chloro-N-(p-methyl-benzylidene)aniline (MeCl)
- 9.1 Introduction
- 9.2 Cell data
- 9.3 X-ray diffuse scattering data
- 9.4 The average structure and model for the disorder
- 9.5 Molecular interactions and MC simulation
- 9.6 Results
- 10 Urea inclusion compounds
- 10.1 Introduction
- 10.2 X-ray diffuse scattering data
- 10.3 Monte Carlo simulation
- 10.3.1 Ordering of alkanes
- 10.3.2 Modelling interactions with the urea framework
- 10.4 Relaxation simulation
- 10.5 Results
- 11 Mullite
- 11.1 Introduction
- 11.2 X-ray diffuse scattering data
- 11.3 A simple model
- 11.4 Results
- 11.5 Conclusions
- 12 Wüstite
- 12.1 Introduction
- 12.2 X-ray diffuse scattering data
- 12.3 Summary of X-ray diffraction features
- 12.4 Paracrystal model to account for diffraction features
- 12.5 Relaxation of structure around defects
- 12.6 Effect of cluster volume fraction
- 12.7 Effect of cluster size
- 13 Cubic stabilised zirconias
- 13.1 Introduction
- 13.2 Model for relaxation
- 13.3 Vacancy ordering via MC simulation of pair correlations
- 13.4 Multi-site correlations
- 13.5 Modulation-wave direct synthesis of vacancy distributions
- 14 Automatic refinement of a Monte Carlo model
- 14.1 Introduction
- 14.2 X-ray diffuse scattering data
- 14.3 Monte Carlo model
- 14.3.1 Ordering of (+/-) orientations
- 14.3.2 Centre-of-mass displacements
- 14.3.3 Orientational relaxation
- 14.3.4 Refinement procedure
- 14.4 Calculation of diffraction patterns
- 14.5 Least-squares
- 14.6 Estimation of the differentials, ??I / ?pi
- 14.7 Progress of refinement
- 14.8 Discussion of solution
- 14.9 Conclusion
- 15 Further applications of the automatic Monte Carlo method
- 15.1 Introduction
- 15.2 Benzil, C14H10O2
- 15.2.1 X-ray diffuse scattering data
- 15.2.2 Structure specification
- 15.2.3 Intermolecular interactions
- 15.2.4 MC simulation
- 15.2.5 Automatic fitting of MC model
- 15.3 p-methyl-N-(p-chloro-benzylidene)aniline (ClMe)
- 15.3.1 X-ray diffuse scattering data
- 15.3.2 Structure specification
- 15.3.3 Intermolecular interactions
- 15.3.4 Occupancy distributions
- 15.3.5 MC simulation
- 15.3.6 Results for ClMe
- 15.4 Conclusion
- 16 Disorder involving multi-site interactions
- 16.1 Introduction
- 16.2 Oxygen/fluorine ordering in K3MoO3F3
- 16.2.1 Observed diffuse scattering patterns
- 16.2.2 Chemical constraint for K3MoO3F3
- 16.2.3 MC simulation using a simple constraint
- 16.3 Short-range order in (Bi1.5Zn0.5)(Zn0.5Nb1.5)O7
- 16.3.1 Observed diffuse scattering patterns
- 16.3.2 Chemical considerations
- 16.3.3 MC simulaton of occupancy disorder
- 16.3.4 MC simulaton of size-effect distortions
- 16.4 Conclusion
- 17 Strain effects in disordered crystals
- 17.1 Introduction
- 17.2 A simple potential used in sol-gel systems
- 17.2.1 Simulation on a square lattice
- 17.2.2 Significance of the modified Lennard-Jones potential result
- 17.3 Cubic stabilised zirconia
- 17.3.1 Model for local structure
- 17.3.2 Origin of strain
- 17.3.3 Results of MC simulation
- 17.4 The organic inclusion compound didecylbenzene/urea
- 17.4.1 Results of MC simulation
- 17.5 The 'diffuse hole' in Bemb2
- 17.5.1 Background
- 17.5.2 MC simulation of the ' diffuse hole' effect
- 17.6 Conclusion
- 18 Miscellaneous examples
- 18.1 Introduction
- 18.2 The defect structure of the zeolite mordenite
- 18.2.1 Background
- 18.2.2 Computer simulations
- 18.3 The defect structure of sodium bismuth titanate
- 18.3.1 Background
- 18.3.2 MC simulation-SRO
- 18.3.3 MC simulation-GP zones
- 18.4 Size-effect-like distortions in quasicrystalline structures
- 18.4.1 Background
- 18.4.2 MC simulation
- 18.4.3 Diffraction patterns
- Part IV Examples Of Real Disordered Systems II
- 19 Pentachloronitrobenzene, C6Cl5NO2
- 19.1 Introduction
- 19.2 Diffuse scattering data
- 19.3 Modelling the disorder
- 19.3.1 Occupancy disorder
- 19.3.2 Size-effect relaxation and displacement disorder
- 19.3.3 Atomic distributions
- 19.4 Summary
- 20 Polymorphs of benzocaine, C9H11O2N
- 20.1 Introduction
- 20.2 Average crystal structures
- 20.3 Observed diffuse scattering data
- 20.4 Monte Carlo simulations
- 20.5 Results
- 20.5.1 Displacement correlations
- 20.5.2 Symmetry of ribbon-pairs
- 20.5.3 Summary of results for thermal model
- 20.6 Phase transition in polymorph II
- 20.7 Disordered Form II structure model
- 20.7.1 Outline
- 20.7.2 Insertion of SRO
- 20.7.3 Example SRO distributions
- 20.7.4 Diffraction pattern of final room-temperature model
- 20.8 Summary
- 21 A new refinement strategy
- 21.1 Introduction
- 21.2 A new strategy
- 21.3 Buckingham potential and spring constants
- 21.3.1 Empirical spring constant formula
- 21.4 Example-paracetamol forms I and II
- 21.4.1 Average structures
- 21.4.2 Monte Carlo models
- 21.4.3 X-ray data
- 21.4.4 MC simulations and calculated diffraction patterns
- 22 Polymorphism in aspirin
- 22.1 Introduction
- 22.2 Aspirin, C9H8O4
- 22.2.1 The two polymorphs of aspirin
- 22.2.2 X-ray diffuse scattering
- 22.2.3 Monte Carlo modelling
- 22.2.4 The hk0 section diffuse scattering
- 22.2.5 The effects of strain
- 22.2.6 Aspirin summary
- 23 Lead perovskite relaxors, PZN and PMN
- 23.1 Introduction
- 23.2 Simple model of PZN using effective interactions
- 23.2.1 Average structure
- 23.2.2 Observed scattering
- 23.2.3 Discussion of diffuse scattering features
- 23.2.4 Model of planar nanodomains
- 23.3 Monte Carlo simulation
- 23.3.1 Pb ordering
- 23.3.2 Computer simulations
- 23.3.3 Insertion of Zn/Nb and O2- ions
- 23.3.4 Size-effect distortions
- 23.3.5 SRO of B-site ions
- 23.3.6 Calculated diffraction patterns
- 23.3.7 The effect of electric fields
- 23.4 Different models for the polar nanodomains in PZN
- 23.4.1 Simple 2D model with ?1 0 0? displacements
- 23.4.2 A 3D model with ?1 0 0? displacements
- 23.4.3 A 3D model with ?1 1 1? displacements
- 23.5 Atomistic shell model based on ab initio calculations
- 23.5.1 Molecular dynamics model for PMN
- 23.5.2 MD simulations
- 23.5.3 Results
- 23.5.4 Nanodomain structure
- 23.5.5 Conditional probability plots
- 23.6 Dynamic disorder in cubic BaTiO3
- 23.6.1 X-ray diffuse scattering data
- 23.6.2 Molecular dynamics simulation
- 23.6.3 Diffraction features
- 23.6.4 Real-space correlations of Ti displacements
- 23.6.5 The dynamical structure factor, S(q,?)
- 23.6.6 Summary
- 24 Pair distribution functions (PDF, 3D-PDF and 3D-?PDF)
- 24.1 The pair distribution function (PDF)
- 24.1.1 PDF sensitivity to different aspects of disorder
- 24.1.2 Different paracrystal distributions
- 24.1.3 Size-effect relaxation around defects
- 24.1.4 Concluding remarks
- 24.2 The 3D pair distribution functions
- 24.2.1 General intensity expression
- 24.2.2 The 3D pair distribution function
- 24.2.3 Important properties and features of ?PDFs
- 24.2.4 Example 1: displacement disorder
- 24.2.5 Example 2: occupational disorder
- 24.2.6 Example 3: mixed disorder
- 24.2.7 Summary
- 24.3 Real example: sodium-intercalated V2O5
- 24.3.1 Average structure of Na0.45V2O5
- 24.3.2 Diffuse X-ray scattering measurements
- 24.3.3 Ordering of Na within the two-leg ladders
- 24.3.4 ?PDF peak intensities in the z=0 plane
- 24.3.5 Temperature dependence of correlation length
- 24.4 Conclusion
- References
- Index
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