Mathematical Crystallography

💎Mathematical Crystallography Unit 14 – Physical Properties and Crystal Symmetry

Crystal symmetry and physical properties are fundamental concepts in crystallography. They explore how atomic arrangements in crystals influence their characteristics. Understanding these relationships is crucial for predicting and manipulating material behavior in various applications. This unit covers crystal systems, lattices, symmetry operations, and point groups. It also delves into experimental techniques for structure determination and applications in materials science. Key challenges in crystallography and problem-solving strategies are discussed to provide a comprehensive overview of the field.

Key Concepts and Definitions

  • Crystallography studies the arrangement of atoms in crystalline solids and how this influences their properties
  • Crystals are solid materials with a highly ordered microscopic structure, where the atoms or molecules are arranged in a repeating pattern
  • Lattices are mathematical constructs that represent the periodic and symmetric arrangement of points in space
  • Unit cells are the smallest repeating units that can be used to construct the entire crystal structure through translation
  • Symmetry operations are transformations that leave an object invariant, such as reflection, rotation, and inversion
  • Symmetry elements are geometric entities (points, lines, or planes) about which symmetry operations are performed
  • Point groups describe the complete set of symmetry operations that leave at least one point fixed in a crystal
  • Space groups incorporate both point group symmetry and translational symmetry of the lattice

Crystal Systems and Lattices

  • There are seven crystal systems (triclinic, monoclinic, orthorhombic, tetragonal, trigonal, hexagonal, and cubic) based on the symmetry of the unit cell
    • Each crystal system has a unique set of lattice parameters (lengths and angles) that define the unit cell dimensions
  • Bravais lattices are the 14 distinct lattice types that can fill space without gaps or overlaps
    • The 14 Bravais lattices are derived from the seven crystal systems by considering the different lattice centering types (primitive, body-centered, face-centered, and base-centered)
  • The symmetry of a crystal determines its physical properties, such as cleavage planes, optical behavior, and thermal expansion
  • Close-packed structures (hexagonal and cubic) are common in metals and ionic compounds, as they maximize the packing efficiency of atoms
  • The arrangement of atoms in a crystal can be described using fractional coordinates within the unit cell

Symmetry Operations and Elements

  • Identity operation (E) leaves the crystal unchanged and is present in all point groups
  • Rotation operations (CnC_n) involve rotating the crystal by 360/n360^\circ/n about an axis, where nn is the order of rotation (2, 3, 4, or 6)
  • Reflection operations (σ\sigma) involve reflecting the crystal across a mirror plane
  • Inversion operation (ii) involves inverting the crystal through a point, called the center of symmetry
  • Rotoinversion operations (SnS_n) combine rotation and inversion, where the crystal is rotated by 360/n360^\circ/n followed by inversion through a point
  • Screw axis operations combine rotation and translation along the axis of rotation
  • Glide plane operations combine reflection and translation parallel to the mirror plane
  • The combination of symmetry operations present in a crystal determines its overall symmetry and point group

Point Groups and Space Groups

  • Point groups are the 32 crystallographic point groups that describe the symmetry of a crystal based on the combination of symmetry operations present
    • The 32 point groups are divided into seven crystal systems based on the lattice parameters and symmetry elements
  • Space groups incorporate both the point group symmetry and the translational symmetry of the lattice
    • There are 230 unique space groups that describe all possible crystal symmetries in three dimensions
  • Hermann-Mauguin notation is used to symbolize point groups and space groups, using letters and numbers to represent symmetry elements and their positions
  • The space group of a crystal determines the arrangement of atoms within the unit cell and the overall crystal structure
  • Knowing the space group of a crystal helps predict its physical properties and guides the interpretation of diffraction data

Mathematical Representations of Symmetry

  • Symmetry operations can be represented mathematically using matrices and vector transformations
    • Rotation, reflection, and inversion operations are represented by 3x3 matrices that transform the coordinates of points in the crystal
  • Group theory is used to analyze the symmetry of crystals and the relationships between symmetry elements
    • Point groups and space groups are examples of mathematical groups that satisfy the group axioms (closure, associativity, identity, and inverse)
  • Character tables summarize the symmetry operations and irreducible representations of a point group
    • Irreducible representations are the simplest matrix representations of a group that cannot be further decomposed
  • The number of symmetry operations in a point group is called the order of the group and is related to the crystal system
  • Fourier analysis is used to describe the electron density distribution in a crystal as a sum of periodic functions

Experimental Techniques for Structure Determination

  • X-ray diffraction (XRD) is the most common technique for determining the atomic structure of crystals
    • XRD measures the intensities and positions of diffracted X-ray beams to construct a three-dimensional map of electron density
  • Single-crystal XRD provides the most detailed structural information but requires a sufficiently large and high-quality crystal
  • Powder XRD is used for polycrystalline samples and can provide information on phase composition, lattice parameters, and average crystal structure
  • Neutron diffraction is complementary to XRD and is sensitive to the positions of light elements (such as hydrogen) and magnetic moments
  • Electron diffraction is used for studying the structure of nanomaterials and surfaces, as electrons have a shorter wavelength than X-rays
  • Pair distribution function (PDF) analysis is used to study local structure in amorphous and nanocrystalline materials by measuring the distribution of interatomic distances

Applications in Materials Science

  • Understanding crystal structure is crucial for designing materials with desired properties, such as mechanical strength, electrical conductivity, and optical behavior
  • Symmetry considerations guide the selection of materials for specific applications, such as piezoelectric devices, nonlinear optics, and semiconductor electronics
  • Crystallographic texture (preferred orientation) influences the anisotropic properties of materials, such as the directional dependence of mechanical and electrical properties
  • Defects in crystals (point defects, dislocations, and grain boundaries) affect their mechanical, electrical, and thermal properties
    • Controlling defect density and distribution is important for optimizing material performance
  • Phase transformations in crystals (such as martensitic transformations in shape memory alloys) are governed by symmetry relationships between the parent and product phases
  • Crystal structure databases (such as the Inorganic Crystal Structure Database and the Cambridge Structural Database) are valuable resources for materials research and discovery

Common Challenges and Problem-Solving Strategies

  • Twinning occurs when a crystal consists of multiple domains with different orientations, complicating structure determination
    • Strategies for handling twinned crystals include using specialized software, collecting data at multiple wavelengths, and using alternative techniques (such as electron diffraction)
  • Disorder in crystals (such as site occupancy disorder or thermal motion) can lead to diffuse scattering and reduced data quality
    • Modeling disorder requires advanced techniques, such as anisotropic displacement parameters and partial occupancy refinement
  • Pseudosymmetry arises when a crystal appears to have higher symmetry than its true symmetry, leading to ambiguity in space group assignment
    • Careful examination of systematic absences and intensity statistics can help distinguish between possible space groups
  • Crystals with large unit cells (such as proteins and polymers) pose challenges for data collection and structure solution due to overlapping reflections and limited resolution
    • Using synchrotron radiation, cryogenic cooling, and advanced phasing methods (such as molecular replacement) can help overcome these challenges
  • Interpreting complex structures requires a combination of crystallographic knowledge, chemical intuition, and complementary characterization techniques
    • Collaborating with experts in related fields (such as spectroscopy, microscopy, and computational modeling) can provide valuable insights into structure-property relationships


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.