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crystallography lv
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Useful concept for crystallography & diffraction
Lattice planes Useful concept for crystallography & diffraction Think of sets of planes in lattice - each plane in set parallel to all others in set. All planes in set equidistant from one another Infinite number of sets of planes in lattice d d - interplanar spacing
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Keep track of sets of planes by
giving them names - Miller indices (hkl) Lattice planes
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Miller indices (hkl) Choose cell, cell origin, cell axes: origin b a
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Miller indices (hkl) Choose cell, cell origin, cell axes Draw set of planes of interest: origin b a
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Miller indices (hkl) Choose cell, cell origin, cell axes Draw set of planes of interest Choose plane nearest origin: origin b a
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Miller indices (hkl) Choose cell, cell origin, cell axes Draw set of planes of interest Choose plane nearest origin Find intercepts on cell axes: 1,1,∞ origin b 1 a 1
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Miller indices (hkl) Choose cell, cell origin, cell axes Draw set of planes of interest Choose plane nearest origin Find intercepts on cell axes 1,1,∞ Invert these to get (hkl) (110) origin b 1 a 1
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Exercises
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Lattice planes Two things characterize a set of lattice planes: interplanar spacing (d) orientation (defined by normal)
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For hexagonal lattices - sometimes see 4-index
Strange indices For hexagonal lattices - sometimes see 4-index notation for planes (hkil) where i = - h - k a3 a1 a2 (110) (1120)
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2 intersecting lattice planes form a zone
Zones 2 intersecting lattice planes form a zone zone axis zone axis zone axis [uvw] is ui + vj + wk i j k h1 k1 l1 h2 k2 l2 plane (hkl) belongs to zone [uvw] if hu + kv + lw = 0 if (h1 k1 l1) and (h2 k2 l2 ) in same zone, then (h1+h2 k1+k2 l1+l2 ) also in same zone.
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zone axis [uvw] is ui + vj + wk
Zones Example: zone axis for (111) & (100) - [011] zone axis [uvw] is ui + vj + wk i j k h1 k1 l1 h2 k2 l2 i j k (100) (111) [011] (011) in same zone? hu + kv + lw = 0 0·0 + 1·1 - 1·1 = 0 if (h1 k1 l1) and (h2 k2 l2 ) in same zone, then (h1+h2 k1+k2 l1+l2 ) also in same zone.
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Reciprocal lattice Real space lattice
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Real space lattice - basis vectors
Reciprocal lattice Real space lattice - basis vectors a a
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Real space lattice - choose set of planes
Reciprocal lattice Real space lattice - choose set of planes (100) planes n100
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Real space lattice - interplanar spacing d
Reciprocal lattice Real space lattice - interplanar spacing d (100) planes d100 1/d100 n100
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Real space lattice ––> the (100) reciprocal lattice pt
planes d100 n100 (100)
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Reciprocal lattice The (010) recip lattice pt n010 (010) planes d010
(100)
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The (020) reciprocal lattice point
planes d020 (010) (020) (100)
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More reciprocal lattice points
(010) (020) (100)
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The (110) reciprocal lattice point
planes n110 d110 (010) (020) (100) (110)
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Still more reciprocal lattice points
(010) (020) (100) the reciprocal lattice (230)
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Reciprocal lattice Reciprocal lattice notation
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Reciprocal lattice Reciprocal lattice for hexagonal real space lattice
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Reciprocal lattice Reciprocal lattice for hexagonal real space lattice
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Reciprocal lattice Reciprocal lattice for hexagonal real space lattice
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Reciprocal lattice Reciprocal lattice for hexagonal real space lattice
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Reciprocal lattice
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