For longer DFT calculations it is pretty standard to run them on a cluster in advance and to perform postprocessing (band structure calculation, plotting of density, etc.) at a later point and potentially on a different machine.

To support such workflows DFTK offers the two functions `save_scfres`

and `load_scfres`

, which allow to save the data structure returned
by `self_consistent_field`

on disk or retrieve it back into memory,
respectively. For this purpose DFTK uses the
JLD2.jl file format and Julia package.
For the moment this process is considered an experimental feature and
has a number of caveats, see the warnings below.

!!! warning "Saving `scfres`

is experimental"
The `load_scfres`

and `save_scfres`

pair of functions
are experimental features. This means:

```
- The interface of these functions
as well as the format in which the data is stored on disk can
change incompatibly in the future. At this point we make no promises ...
- JLD2 is not yet completely matured
and it is recommended to only use it for short-term storage
and **not** to archive scientific results.
- If you are using the functions to transfer data between different
machines ensure that you use the **same version of Julia, JLD2 and DFTK**
for saving and loading data.
```

To illustrate the use of the functions in practice we will compute the total energy of the O₂ molecule at PBE level. To get the triplet ground state we use a collinear spin polarisation (see Collinear spin and magnetic systems for details) and a bit of temperature to ease convergence:

In [1]:

```
using DFTK
using LinearAlgebra
using JLD2
d = 2.079 # oxygen-oxygen bondlength
a = 9.0 # size of the simulation box
lattice = diagm(a * ones(3))
O = ElementPsp(:O, psp=load_psp("hgh/pbe/O-q6.hgh"))
atoms = [O => d / 2a * [[0, 0, 1], [0, 0, -1]]]
magnetic_moments = [O => [1., 1.]]
Ecut = 10 # Far too small to be converged
model = model_PBE(lattice, atoms, temperature=0.02, smearing=smearing=Smearing.Gaussian(),
magnetic_moments=magnetic_moments)
basis = PlaneWaveBasis(model, Ecut; kgrid=[1, 1, 1])
ρspin = guess_spin_density(basis, magnetic_moments)
scfres = self_consistent_field(basis, tol=1e-2, ρspin=ρspin)
save_scfres("scfres.jld2", scfres);
```

In [2]:

```
scfres.energies
```

Out[2]:

The `scfres.jld2`

file could now be transfered to a different computer,
Where one could fire up a REPL to inspect the results of the above
calculation:

In [3]:

```
using DFTK
using JLD2
loaded = load_scfres("scfres.jld2")
propertynames(loaded)
```

Out[3]:

In [4]:

```
loaded.energies
```

Out[4]:

Since the loaded data contains exactly the same data as the `scfres`

returned by the
SCF calculation one could use it to plot a band structure, e.g.
`plot_bandstructure(load_scfres("scfres.jld2"))`

directly from the stored data.

A related feature, which is very useful especially for longer calculations with DFTK is automatic checkpointing, where the state of the SCF is periodically written to disk. The advantage is that in case the calculation errors or gets aborted due to overrunning the walltime limit one does not need to start from scratch, but can continue the calculation from the last checkpoint.

To enable automatic checkpointing in DFTK one needs to pass the `ScfSaveCheckpoints`

callback to `self_consistent_field`

, for example:

In [5]:

```
callback = DFTK.ScfSaveCheckpoints()
scfres = self_consistent_field(basis, tol=1e-2, ρspin=ρspin, callback=callback);
```

Notice that using this callback makes the SCF go silent since the passed
callback parameter overwrites the default value (namely `DefaultScfCallback()`

)
which exactly gives the familiar printing of the SCF convergence.
If you want to have both (printing and checkpointing) you need to chain
both callbacks:

In [6]:

```
callback = DFTK.ScfDefaultCallback() ∘ DFTK.ScfSaveCheckpoints(keep=true)
scfres = self_consistent_field(basis, tol=1e-2, ρspin=ρspin, callback=callback);
```

For more details on using callbacks with DFTK's `self_consistent_field`

function
see Monitoring self-consistent field calculations.

By default checkpoint is saved in the file `dftk_scf_checkpoint.jld2`

, which is
deleted automatically once the SCF completes successfully. If one wants to keep
the file one needs to specify `keep=true`

as has been done in the ultimate SCF
for demonstration purposes: now we can continue the previous calculation
from the last checkpoint as if the SCF had been aborted.
For this one just loads the checkpoint with `load_scfres`

:

In [7]:

```
oldstate = load_scfres("dftk_scf_checkpoint.jld2")
scfres = self_consistent_field(oldstate.basis, ρ=oldstate.ρ, ρspin=oldstate.ρspin,
ψ=oldstate.ψ, tol=1e-3);
```

!!! note "Availability of `load_scfres`

, `save_scfres`

and `ScfSaveCheckpoints`

"
As JLD2 is an optional dependency of DFTK these three functions are only
available once one has *both* imported DFTK and JLD2 (`using DFTK`

and `using JLD2`

).

(Cleanup files generated by this notebook)

In [8]:

```
rm("dftk_scf_checkpoint.jld2")
rm("scfres.jld2")
```