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Miller Indices (Planes and Directions)
In this lecture, we will discuss the Miller Indices, Planes, and Directions. In the previous lectures we saw, we understood the fundamentals of crystallography, lattices, crystal systems, Bravais lattices, and symmetry and their correlations. Now, we will try to understand how we can quantify the crystals in terms of the directions and various phases because this is the knowledge of this is very important to understand the correlation of anisotropy, directional response of various properties in crystals. So, if you measure certain properties in one direction, it is different from other directions, and this is true about mechanical properties, electrical properties, thermal properties, and other magnetic properties.
So, to correlate the properties with directions, you need to have a method to quantify the directions and planes of the crystal, and that is where this concept of miller indices comes into the picture.
Miller indices are in the name of a person called William Hallowes Miller, who coined the term, and that is why these are called miller indices. Crystallographic planes are nothing but the faces of facets of crystals you can say facets of crystals they are defined as, so, this is to identify they are defined as (h k l) for one plane. However, it could be for a set of identical planes dependent upon one crystal structure, whether it is just cubic or whether it is tetragonal. So, you may not be able to write the same connotation for tetragonal. The second thing is crystallographic directions in various atomic directions in crystal, and these are depicted as [u v w], and <u v w> represents a set of directions. Again just like planes, it is dependent upon the crystal structure, and here h, k, l and u, v, w are integers, and they could be positive or negative.
So, fractional intercept along x is 2A by this is along x, y it is 6A divided by 8A, and along z, it is 3A divided by 3A. So, this is 1 over 2, this is 3 over 4, and this is 1. So, now, you need to convert this into reciprocals. The plane indices, (h k l), have to be integers. So, you need to convert this into the smallest set of integers. So, if you convert this in the smallest set of integers, what do you get? You get 6, 4, and 3. So, this plane is (6 4 3). That is how you determine the Miller indices of a given plane. Similarly, So, let us do the same exercise for let us say this plane.
The process of determining a plane of the unit cell includes defining the origin, determine the intercepts, take the reciprocal, and then convert to the smallest set of integers. Why the smallest set of integers? Because if you look at (0 1 0) and (0 2 0) are parallel planes, one is at the half spacing of the unit cell; another is at the full spacing of the unit cell. So, h k l and 2h, 2k, 2l, and 3h, 3k, 3l are the same set of planes, and they are parallel to each other, it is just that the spacing between them is different.I Draw a unit cell just one last demonstration and to help you with how to find out, now let us say I draw a random plane let me choose one. So, I connect this point, this point and this point is it a legitimate plane, have intercept along x, intercept along y, and intercept along z.
So, how do you choose the origin now? So, you can see that the trick here is let us say so, this is that half right this is that half. So, you can see that if you choose this is this point is located at half of minus half x from here, this is located at -1/2 along x, -1/2 along y, and this is a 1/2 along z. If you take the reciprocal, this becomes -2, -2, 2, or this is nothing but (´1´1 1).
So, what is 1, bar 1, 1 plane? Basically 1 bar 1 plane will be this and that if I put these together nothing, but a parallel plane, but if you have to determine this red one, this 1 is a legitimate plane as well you might have atom sitting here. So, one way to do it is you do it in this fashion, or another way to do it could be by drawing a parallel plane so that you can choose an origin which is located on one of the corners, which means you have to draw the
parallel planes one more parallel plane. So, that instead of ending in this fashion, it ends here. So, this will go out of the system. So, this is something you do to determine the planes and need to know about the spacing between the planes.
For cubic system spacing between the planes is given as, dhkl, shown in the figure. Where a is the lattice parameter, and h, k, l are the miller indices. So, what is the spacing between these planes that is or you can have this is 1 0 0 plane and 0 1 0 plane, the spacing between these two is a. (1 00) dhkl=a
This is called as interplanar angle. These are only for cubic systems. By the way, for the tetragonal and orthorhombic systems, the relations are different. In the next lecture, we will now discuss the Miller indices for directions.
For Next Lecture Click below
Structure of Materials : Bonding in Materials
Structure of Materials : Correlation between bond and physical propertiesCrystal Structure: Lattice and Basis
Primitive and Non-primitive Lattices
Crystal Systems and Bravais Lattice
Bravais Lattices Symmetry in Crystals
Symmetry and Correlations with the Bravais Lattices
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