Since DFTK is completely generic in the floating-point type
in its routines, there is no reason to perform the computation
using double-precision arithmetic (i.e.`Float64`

).
Other floating-point types such as `Float32`

(single precision)
are readily supported as well.
On top of that we already reported[^HLC2020] calculations
in DFTK using elevated precision
from DoubleFloats.jl
or interval arithmetic
using IntervalArithmetic.jl.
In this example, however, we will concentrate on single-precision
computations with `Float32`

.

The setup of such a reduced-precision calculation is basically identical
to the regular case, since Julia automatically compiles all routines
of DFTK at the precision, which is used for the lattice vectors.
Apart from setting up the model with an explicit cast of the lattice
vectors to `Float32`

, there is thus no change in user code required:

[^HLC2020]:
M. F. Herbst, A. Levitt, E. Cancès.
*A posteriori error estimation for the non-self-consistent Kohn-Sham equations*
ArXiv 2004.13549

In [1]:

```
using DFTK
# Setup silicon lattice
a = 10.263141334305942 # lattice constant in Bohr
lattice = a / 2 .* [[0 1 1.]; [1 0 1.]; [1 1 0.]]
Si = ElementPsp(:Si, psp=load_psp("hgh/lda/Si-q4"))
atoms = [Si, Si]
positions = [ones(3)/8, -ones(3)/8]
# Cast to Float32, setup model and basis
model = model_LDA(lattice, atoms, positions)
basis = PlaneWaveBasis(convert(Model{Float32}, model), Ecut=7, kgrid=[4, 4, 4])
# Run the SCF
scfres = self_consistent_field(basis, tol=1e-3);
```

In [2]:

```
scfres.energies
```

Out[2]:

Energy breakdown (in Ha): Kinetic 3.1021404 AtomicLocal -2.1988733 AtomicNonlocal 1.7295953 Ewald -8.3978958 PspCorrection -0.2946220 Hartree 0.5530664 Xc -2.3986244 total -7.905213356018

In [3]:

```
eltype(scfres.energies.total)
```

Out[3]:

Float32

In [4]:

```
eltype(scfres.ρ)
```

Out[4]:

Float32

`LinearAlgebra`

library of Julia
one additional step is required: One needs to explicitly enable the generic versions
of standard linear-algebra operations like `cholesky`

or `qr`

, which are needed
inside DFTK by loading the `GenericLinearAlgebra`

package in the user script
(i.e. just add ad `using GenericLinearAlgebra`

next to your `using DFTK`

call).