Crystallography and Computational Quantum Mechanics Part
I
Lattices and Basis
Solid materials are often found
as crystals – three-dimensional
periodic arrays of atoms. As we
noted in
our two dimensional introduction one example is cubic
perovskite, shown
in Fig. 1. The calcium (green)
atoms an array of cubes. Inside each cube is a titanium
atom, and on the faces are oxygen atoms, which are shared
between the cubes. Because of the stacking, the system is
periodic, that is, if you draw a line between any two
calcium (green), titanium (gray) or oxygen (red) atoms and
extend it to infinity, you’ll find that the line crosses an
infinite number of identical atoms, equally spaced. For
certain lines, such as the one connecting the calcium atoms
along the diagonal of the cube, you'll also see other atoms,
which will themselves be periodically spaced. This
periodicity is the heart of crystallography. The basis
periodicity of the system is described by
the lattice. The actual position of each atom is
described by the basis. Here we'll define those
terms and provide some examples. Later articles will define
the types of lattices allowed in three dimensions.
Figure 1: Crystal structure
of cubic
perovskite, CaTiO3. The green atoms are
calcium, gray atoms titanium, and red atoms oxygen. The
small cube outlined at the front lower left of the
picture is the unit cell (defined below) of the system.
Much of this tutorial has already been covered
in two
dimensions, where everything can be displayed on a
page. You might want to go back and look at that.
The Lattice
All conventional crystal
structures† are
based on the lattice, a periodic array
of points in n-dimensions. A sample 3-d structure
lattice is shown in Fig. 2.
Figure 3:
A finite portion of a three dimensional lattice. The
points represent the lattice, the lines are drawn as a
guide to the eye.
From this figure we get a couple of properties of periodic
systems:
Just as with perovskite, a line drawn through any two
lattice points will intersect an infinite number of other
lattice points, all evenly spaced on the line.
This system has translational
symmetry: every lattice point is exactly
the same as any other, so we can choose the origin at
any point on the lattice. Moving the origin from one
point on the lattice to another doesn’t change
anything about how we view the crystal.
The translational symmetry of the lattice is discrete: we
can only move the origin from one lattice point to
another. This limited set of translations can be described
with a set of primitive
vectors, n of them for a n-dimensional
lattice. Fig. 3 shows one
choice for the primitive vectors in our sample lattice. Once
we have the primitive vectors and a starting point all
points on the lattice are found at
R
= n1a1
+ n2a2
+ n3a3
, (1)
for all
integers n1, n2,
and n3.
Figure 3: The lattice
from Fig. 2 with the
primitive vectors (1). The
vectors plus the blue lines outline the unit cell of the
system.
Figure also shows a prism bounded by the primitive vectors
and the blue lines. This is a possible unit
cell of the lattice. Think of it as a piece in a
very boring 3-d jigsaw puzzle. We create the lattice by
packing the identical puzzle pieces together, with the
lattice points at the intersections. A unit cell is the
smallest possible piece that reproduces the lattice.
Once we know the primitive vectors for lattice we can find the volume
of the unit cell. If our vectors have the Cartesian coordinates
By convention the cell is said to
be right-handed if $\mathbf{a}_{1}
\cdot ( \mathbf{a}_{2} \times \mathbf{a}_{3})$ is positive
and left-handed if it is
negative. Most of the time we'll want to use a right-handed
orientation, but this is only a convention and doesn’t
affect the properties of the structure.
There is considerable freedom in defining primitive
vectors. The only rules are that a primitive vector must
point from one lattice point to another and that the unit
cell volume (3) stays the
same. Mathematically, any two choices of primitive vectors
$\mathbf{a}_{i}$ and $\mathbf{a}'_{i}$ are equivalent if
Figure 4: Several possible unit cells for the
lattice generated using different sets of primitive
vectors (4). Every choice of
primitive cell tiles all space and so represents the same
lattice.
There are an infinite number of possibilities for the unit
cell shape, some more practical than
others. Fig. 4 shows a selection
of unit cells are generated by different choices of
primitive vectors (4). All
these cells describe the same lattice: they all have the
same area, and they all tile the plane. Any one of them is
an acceptable unit cell.
Is there any unique unit cell that we can draw independent
of the choice of primitive vectors? At least one such cell
exists. It’s called the Wigner-Seitz
cell1 and
it is the set of all points in space that are closer to one
lattice point than to any other. The Wigner-Seitz cell for
the lattice in is shown in Fig
5. It was drawn by determining the half-way point
between the central lattice point and every other lattice
point. Since you can draw this cell around any lattice point
it tiles the lattice and makes an acceptable unit cell with
the lattice point at the center of the cell.
In general the literature does not use Cartesian coordinates
to describe the lattice vectors as we did
in (3). Obviously these can
change with the orientation of the x-, y-, and z- axes
without affecting the properties of the lattice. Instead,
crystallographers use a standard notation for the vectors:
a, b, and c for the vector lengths, and α, β and
γ for the angles between the vectors. So if we have a
set of vectors described
by (3), we can define these
values by
Figure 6: Standard
representation of the
lattice constants of crystal from (7). The example
is high-pressure californium.
An example of this can be seen
in Fig. 6, which shows
the lattice vectors
for high-pressure
californium. Fig. 7
presents a simple, albeit unphysical, mnemonic to help you
remember what goes where.
Figure 7: Mnemonic for the standard
representation of the
lattice constants of crystal
from (7). This obviously does
not represent a real crystal.
Decorating the Lattice – The Basis
We've spent a lot of time talking about lattices, primitive
vectors, and unit cells are useful for defining crystal
structures, the lattice shown in is not particularly
interesting by itself. A real crystal structure like the one
shown in has a lot more going on. To spice up our lattice
let’s add two “atoms,” to a lattice. We could
do this for californium, as shown
in Fig. 6, but let's find
a structure with two different atomic species, cesium and
chlorine, in the
(duh) cesium
chloride structure, shown
in Fig. 8.
Figure 8: The unit cell
of cesium
chloride. Each of the corner atoms in the unit cell
is shared by eight cells, so there is only one chlorine
atom per cell.
This looks like a cube with nine atoms, but since the
chlorine atoms are on the corners of the cube, each
one atom sticks into eight different unit cells, so there is
actually only one chlorine atom per unit cell.
Crystals can have any number of atoms in the unit cell. For
example, cubic
perovskite, Fig. 1 has
five,‡ but
we’ll keep it simple here.
It’s important to realize that the chlorine (green) and
cesium (purple) atoms are not lattice points, even
though in our picture the chlorine atoms are on
lattice points. The two atoms
aren’t the same, and they aren’t separated by any primitive
vector (2). Instead, they form
the basis of the crystal structure. In the real
world this is where all the physics and chemistry happen.
Now we have to describe the position of each atom in the
unit cell. This is done by basis vectors, one for
each atom in the unit cell. In this case we have atoms
at BCl for the chlorine atom
and BCs cesium. Once we have
those, we can decorate the entire crystal, putting the
chlorine atoms at the points
Figure 9: A part of the lattice defined by
(8) and (9).
The primitive vectors (in red) and the basis
vector BCs (in light purple) are
shown. Since the chlorine atom is at the origin in this
representation it has zero length and is not shown.
Like nearly everything else we’ve discussed here, the choice
of basis vectors isn’t unique. Any vector
B'i
= n1a1
+ n2a2
+ n3a3
+ Bi (10)
with any integers n1,2,3 is a valid choice for
the basis vector for atom i. Your choice of basis vectors
will depend on what you want to do with the structure. Here
we chose to keep the vectors inside the original unit cell,
but there is no reason that we had to.
While we can specify the coordinates of the basis vectors in
Cartesian coordinates, it’s often useful to specify the
lattice coordinates in terms of the lattice
vectors, e.g.
Bi =
αi1a1
+ αi2a2
+ αi3a3
,
(11)
where the αij are the lattice
coordinates of the basis vectors. We calculate the
coordinates using the reciprocal lattice
vectors. These are always written $\mathbf{b}_{i}$ (don’t
confuse them with the basis vectors $\mathbf{B}_{i}$). They
are defined so that
ai
· bj = 2 π
δij , (12)
where δij is the Kronecker
delta.*
In three dimensions (12) is
satisfied if
bi = 2
π aj
× ak/V ,
(13)
where V is the unit cell volume (3)
and the integers i , j , k are in cyclic order.
Once we have the reciprocal lattice vectors it is easy to
show that if we have any basis vector Bi can be
expressed in the form (11) with
αij = Bi
· bj / (2 π)
. (14)
In practice the use of Cartesian coordinates or
lattice coordinates for the basis vectors depends on the
project. The Encyclopedia
of Crystallographic Prototypes gives both Cartesian
and lattice coordinates for the basis vectors of each
structure.
A Real-World Example: Tungsten Carbide
As an example, let's look at something a little more
complicated than
CsCl: tungsten
carbide (WC), shown in Fig. 10.
Figure 10: Crystal structure
of tungsten
carbide. The carbon atoms are gray and the nitrogens
are blue. The red arrows show the primitive vectors, the
green arrow shows the nitrogen basis vector, and the red
lines outline the unit cell. In this representation the
carbon basis vector has zero length and so is not shown.
Now that we have a real structure, we can apply the
procedures we developed above to describe this system:
Tungsten carbide has a hexagonal lattice,
our Encyclopedia
page gives the primitive vectors as
So far we’ve only discussed translational symmetry in the
lattice. Tungsten carbide (Fig. 10)
obviously has much more symmetry than that. For example,
rotating the structure by 60°, or any multiple of
60°, using a3 as the axis, or
reflecting all the atoms through the y axis, (x y
z) → (x y -z),
will not change what the picture looks like. We’ll discuss
these higher symmetries in the in later articles.
Further Reading
For an earlier and much more formal version of much this
discussion, see The Library of Crystallographic
Prototypes: Parts 12 and
23. We also have
tutorials on crystallography in
two dimensions.
Resources
AFLOW
AFLOW
(Automatic FLOW) is an open-source package which can
be used to generate and run first-principles electronic
structure calculations for a variety of codes. It can
also be used to analyze and compare crystal structures,
including the production of Crystallographic
Information Files (CIFs). This code is the primary
resource used to generate the structures in
the Encyclopedia of Crystallographic
Prototypes.
gnuplot
gnuplot is a
freely-distributable code for plotting graphs. We use it
extensively in these tutorials and in other sections of
the Encyclopedia.
Jmol
Jmol is an
open-source Java viewer which can be used to visualize
crystal structures as well as molecules. Many of the
figures shown here were drawn with Jmol.
Glossary
Here is a brief definition of some of the terms used in this
article:
Basis:
The collection of items (atoms, pixels, paint drops) that
decorate a lattice to produce a crystal or a
wallpaper. Every object in a crystal structure is part of
the basis.
Basis Vectors:
The vectors pointing from the origin of the lattice to the
individual members of the basis.
Cartesian (Basis) Coordinates:
The positions of the basis vectors relative to the origin
given on a standard Cartesian grid.
Crystal:
A periodically repeated collection of objects
in n-dimensions.
Lattice:
A periodically repeated collection of points
in n-dimensions.
Lattice Coordinates:
The positions of the basis vectors expressed relative to
the chosen primitive vectors of the system.
Primitive Vectors:
A set of vectors that defines the allowed shifts in the
origin of the lattice that do not violate translational
symmetry.
Reciprocal Lattice Vectors:
A set of vectors forming the “reciprocal
space” of the lattice. Here we only use them to
determine the lattice coordinates of the basis
vectors. There are many more uses for reciprocal lattice
vectors which we will discuss in later articles.
Translational Symmetry:
A shift of the origin of a crystal that produces a
structure indistinguishable from the original.
Unit Cell:
The (non-unique) smallest area (smallest volume in three
dimensions) of space that reproduces all of the
information about the crystal structure, and which can be
periodically tiled to create the entire structure.
Wigner-Seitz Cell
A uniquely defined unit cell consisting of all spatial
points closer to a given lattice point than to any other
lattice point.
Footnotes
† This applies to periodic
crystals. There is a class of materials known
as quasicrystals
which tile all space but do not have three- (or two-)
dimensional periodicity. These are extremely difficult to
model computationally, so we won't get to them, except in
passing, until much later.
‡ You can see the basis vectors for the
perovskite structure in the PowerPoint version of this
talk.
* The factor of 2π is not particularly important
here. We’ll see a use for it when we discuss the reciprocal
space for the quantum mechanical description of the system,
which will be in a much later article in these tutorials.
References
N. W. Ashcroft and N. D. Mermin, Solid State
Physics (Saunders College Publishing, Orlando, 1976),
chap. 4, pp. 73–75. A downloadable copy is available
through
the Internet Archive.
M. J. Mehl, D. Hicks, C. Toher, O. Levy, R. M. Hanson,
G. L. W. Hart, and S. Curtarolo, The AFLOW Library of
Crystallographic Prototypes: Part 1,
Comput. Mater. Sci. 136, S1–S828 (2017),
doi:10.1016/j.commatsci.2017.01.017.
(arXiv
link)
D. Hicks, M. J. Mehl, E. Gossett, C. Toher, O. Levy,
R. M. Hanson, G. L. W. Hart, and S. Curtarolo, The
AFLOW Library of Crystallographic Prototypes: Part 2,
Comput. Mater. Sci. 161, S1–S1011
(2019), doi:10.1016/j.commatsci.2018.10.043.
(arXiv link)