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2 changes: 1 addition & 1 deletion .pre-commit-config.yaml
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exclude: ^example/AlN-LDA/

- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.6.4
rev: v0.6.5
hooks:
- id: ruff
args: [ "--fix", "--show-fixes" ]
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4 changes: 4 additions & 0 deletions doc/changelog.md
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# Change Log

## Sep-19-2024: Version 3.5.1

- A small fix.

## Sep-13-2024: Version 3.5

- Maintenance release.
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# The short X.Y version.
version = "3.5"
# The full version, including alpha/beta/rc tags.
release = "3.5.0"
release = "3.5.1"

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
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wigner-solution
workload-distribution
random-displacements
pypolymlp
cutoff-pair
external-tools
phono3py-api
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329 changes: 329 additions & 0 deletions doc/pypolymlp.md
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(pypolymlp-interface)=

# Force constants calculation using pypolymlp (machine learning potential)

**This is an experimental feature.**

With the `--pypolymlp` option, phono3py can interface with the polynomial
machine learning potential (MLP) code,
[pypolymlp](https://github.com/sekocha/pypolymlp), to perform training and
evaluation tasks of MLPs. This feature aims to reduce the computational cost of
anharmonic force constant calculations by using MLPs as an intermediary layer,
efficiently representing atomic interactions.

The training process involves using a dataset consisting of supercell
displacements, forces, and energies. The trained MLPs are then employed to
compute forces for supercells with specific displacements.

For more details on the methodology, refer to <u>A. Togo and A. Seko, J. Chem. Phys.
**160**, 211001 (2024)</u> [[doi](https://doi.org/10.1063/5.0211296)].

An example of its usage can be found in the `example/NaCl-pypolymlp` directory
in the distribution from GitHub or PyPI.

## Requirement

- [pypolymlp](https://github.com/sekocha/pypolymlp)
- [symfc](https://github.com/symfc/symfc)

## Workflow

1. Generate random displacements in supercells. Use {ref}`--rd
<random_displacements_option>` option.
2. Calculate corresponding forces and energies in supercells. Use of VASP
interface is recommended for {ref}`--sp <sp_option>` option is supported.
3. Prepare dataset composed of displacements, forces, and energies in
supercells. The dataset must be stored in a phono3py-yaml-like file, e.g.,
`phono3py_params.yaml`. Use {ref}`--cf3 <cf3_option>` and {ref}`--sp
<sp_option>` option simultaneously.
4. Develop MLPs. At this step `phono3py.pmlp` is saved.
5. Generate displacements in supercells either systematic or random displacements.
6. Evaluate MLPs for forces of the supercells generated in step 5.
7. Calculate force constants from displacement-force dataset from steps 5 and 6.

The steps 4-7 are executed in running phono3py with `--pypolymlp`
option.

### Steps 1-3: Dataset preparation

For the training, the following supercell data are required in the phono3py
setting to use pypolymlp:

- Displacements
- Forces
- Total energies

These data must be stored in phono3py.yaml-like file.

The supercells with displacements are generated by

```
% phono3py --pa auto --rd 100 -c POSCAR-unitcell --dim 2 2 2
_ _____
_ __ | |__ ___ _ __ ___|___ / _ __ _ _
| '_ \| '_ \ / _ \| '_ \ / _ \ |_ \| '_ \| | | |
| |_) | | | | (_) | | | | (_) |__) | |_) | |_| |
| .__/|_| |_|\___/|_| |_|\___/____/| .__/ \__, |
|_| |_| |___/
3.5.0
-------------------------[time 2024-09-19 14:40:00]-------------------------
Compiled with OpenMP support (max 10 threads).
Python version 3.12.4
Spglib version 2.5.0
Unit cell was read from "POSCAR-unitcell".
-------------------------------- unit cell ---------------------------------
Lattice vectors:
a 5.603287477054753 0.000000000000000 0.000000000000000
b 0.000000000000000 5.603287477054753 0.000000000000000
c 0.000000000000000 0.000000000000000 5.603287477054753
Atomic positions (fractional):
1 Na 0.00000000000000 0.00000000000000 0.00000000000000 22.990
2 Na 0.00000000000000 0.50000000000000 0.50000000000000 22.990
3 Na 0.50000000000000 0.00000000000000 0.50000000000000 22.990
4 Na 0.50000000000000 0.50000000000000 0.00000000000000 22.990
5 Cl 0.50000000000000 0.50000000000000 0.50000000000000 35.453
6 Cl 0.50000000000000 0.00000000000000 0.00000000000000 35.453
7 Cl 0.00000000000000 0.50000000000000 0.00000000000000 35.453
8 Cl 0.00000000000000 0.00000000000000 0.50000000000000 35.453
----------------------------------------------------------------------------
Supercell (dim): [2 2 2]
Primitive matrix:
[0. 0.5 0.5]
[0.5 0. 0.5]
[0.5 0.5 0. ]
Displacement distance: 0.03
Number of displacements: 100
NAC parameters were read from "BORN".
Spacegroup: Fm-3m (225)
Displacement dataset was written in "phono3py_disp.yaml".
-------------------------[time 2024-09-19 14:40:00]-------------------------
_
___ _ __ __| |
/ _ \ '_ \ / _` |
| __/ | | | (_| |
\___|_| |_|\__,_|
```

For the generated supercells, forces and energies are calculated. Here it is
assumed to use the VASP code. Once the calculations are complete, the data
(forces and energies) can be extracted using the following command:

```bash
% phono3py --sp --cf3 vasprun_xmls/vasprun-{00001..00100}.xml
```

This command extracts the necessary data and stores it in the
`phono3py_params.yaml` file. For more details, refer to the description of the
{ref}`--sp <sp_option>` option. Currently, supercell energy extraction from
calculator outputs is only supported when using the VASP interface.

``````{note}
A set of the VASP calculation results is placed in `example/NaCl-rd`. It is
obtained by
```bash
% tar xvfa ../NaCl-rd/vasprun_xmls.tar.xz
```
``````


### Steps 4-7: Force constants calculation (systematic displacements in step 5)

After developing MLPs, displacements are generated systematically considering
crystal symmetry.

Having `phono3py_params.yaml`, phono3py is executed with `--pypolymlp` option,

```
% phono3py-load --pypolymlp phono3py_params.yaml
_ _____
_ __ | |__ ___ _ __ ___|___ / _ __ _ _
| '_ \| '_ \ / _ \| '_ \ / _ \ |_ \| '_ \| | | |
| |_) | | | | (_) | | | | (_) |__) | |_) | |_| |
| .__/|_| |_|\___/|_| |_|\___/____/| .__/ \__, |
|_| |_| |___/
3.5.0
-------------------------[time 2024-09-19 15:20:27]-------------------------
Compiled with OpenMP support (max 10 threads).
Running in phono3py.load mode.
Python version 3.12.6
Spglib version 2.5.0
----------------------------- General settings -----------------------------
HDF5 data compression filter: gzip
Crystal structure was read from "phono3py_params.yaml".
Supercell (dim): [2 2 2]
Primitive matrix:
[0. 0.5 0.5]
[0.5 0. 0.5]
[0.5 0.5 0. ]
Spacegroup: Fm-3m (225)
Use -v option to watch primitive cell, unit cell, and supercell structures.
NAC parameters were read from "phono3py_params.yaml".
----------------------------- Force constants ------------------------------
Displacement dataset for fc3 was read from "phono3py_params.yaml".
----------------------------- pypolymlp start ------------------------------
Pypolymlp is a generator of polynomial machine learning potentials.
Please cite the paper: A. Seko, J. Appl. Phys. 133, 011101 (2023).
Pypolymlp is developed at https://github.com/sekocha/pypolymlp.
Developing MLPs by pypolymlp...
Regression: cholesky decomposition ...
- alpha: 0.001
- alpha: 0.01
- alpha: 0.1
- alpha: 1.0
- alpha: 10.0
Clear training X.T @ X
Calculate X.T @ X for test data
Clear test X.T @ X
Regression: model selection ...
- alpha = 1.000e-03 : rmse (train, test) = 9.39542e+14 9.39543e+14
- alpha = 1.000e-02 : rmse (train, test) = 9.39542e+14 9.39543e+14
- alpha = 1.000e-01 : rmse (train, test) = 0.03738 0.04961
- alpha = 1.000e+00 : rmse (train, test) = 0.03900 0.04742
- alpha = 1.000e+01 : rmse (train, test) = 0.04058 0.04584
MLPs were written into "phono3py.pmlp"
------------------------------ pypolymlp end -------------------------------
Generate displacements
Displacement distance: 0.001
Evaluate forces in 292 supercells by pypolymlp
Computing fc3[ 1, x, x ] using numpy.linalg.pinv.
Displacements (in Angstrom):
[ 0.0010 0.0000 0.0000]
[-0.0010 0.0000 0.0000]
Computing fc3[ 33, x, x ] using numpy.linalg.pinv.
Displacements (in Angstrom):
[ 0.0010 0.0000 0.0000]
[-0.0010 0.0000 0.0000]
Expanding fc3.
fc3 was symmetrized.
fc2 was symmetrized.
Max drift of fc3: -0.000000 (zzz) -0.000000 (zzz) -0.000000 (zzz)
Max drift of fc2: -0.000000 (zz) -0.000000 (zz)
fc3 was written into "fc3.hdf5".
fc2 was written into "fc2.hdf5".
----------- None of ph-ph interaction calculation was performed. -----------
Dataset generated using MMLPs was written in "phono3py_mlp_eval_dataset.yaml".
Summary of calculation was written in "phono3py.yaml".
-------------------------[time 2024-09-19 15:21:41]-------------------------
_
___ _ __ __| |
/ _ \ '_ \ / _` |
| __/ | | | (_| |
\___|_| |_|\__,_|
```

Information about the development of MLPs using pypolymlp is provided between
the `pypolymlp start` and `pypolymlp end` sections. The polynomial MLPs are
saved in the `phono3py.pmlp` file, which can be reused in subsequent phono3py
executions with the `--pypolymlp` option when only displacements (and no forces)
are provided.

After the MLPs are developed, systematic displacements, such as those involving
the displacement of one or two atoms in supercells, are generated with a
displacement distance of 0.001 Angstrom. The forces for these supercells are
then evaluated using pypolymlp. Both the generated displacements and the
corresponding forces are stored in the `phono3py_mlp_eval_dataset` file.

### Steps 4-6: Force constants calculation (random displacements in step 5)

After developing MLPs, random displacements are generated by specifying
{ref}`--rd <random_displacements_option>` option. To compute force constants
with random displacements, an external force constants calculator is necessary.
For this, symfc is used which is invoked by `--symfc` option.

Having `phono3py_params.yaml`, phono3py is executed with `--pypolymlp` option,

```
% phono3py-load --pypolymlp --rd 200 --symfc phono3py_params.yaml
_ _____
_ __ | |__ ___ _ __ ___|___ / _ __ _ _
| '_ \| '_ \ / _ \| '_ \ / _ \ |_ \| '_ \| | | |
| |_) | | | | (_) | | | | (_) |__) | |_) | |_| |
| .__/|_| |_|\___/|_| |_|\___/____/| .__/ \__, |
|_| |_| |___/
3.5.0-dev22+g575c4107
-------------------------[time 2024-09-19 15:33:23]-------------------------
Compiled with OpenMP support (max 10 threads).
Running in phono3py.load mode.
Python version 3.12.6
Spglib version 2.5.0
----------------------------- General settings -----------------------------
HDF5 data compression filter: gzip
Crystal structure was read from "phono3py_params.yaml".
Supercell (dim): [2 2 2]
Primitive matrix:
[0. 0.5 0.5]
[0.5 0. 0.5]
[0.5 0.5 0. ]
Spacegroup: Fm-3m (225)
Use -v option to watch primitive cell, unit cell, and supercell structures.
NAC parameters were read from "phono3py_params.yaml".
----------------------------- Force constants ------------------------------
Displacement dataset for fc3 was read from "phono3py_params.yaml".
----------------------------- pypolymlp start ------------------------------
Pypolymlp is a generator of polynomial machine learning potentials.
Please cite the paper: A. Seko, J. Appl. Phys. 133, 011101 (2023).
Pypolymlp is developed at https://github.com/sekocha/pypolymlp.
Developing MLPs by pypolymlp...
Regression: cholesky decomposition ...
- alpha: 0.001
- alpha: 0.01
- alpha: 0.1
- alpha: 1.0
- alpha: 10.0
Clear training X.T @ X
Calculate X.T @ X for test data
Clear test X.T @ X
Regression: model selection ...
- alpha = 1.000e-03 : rmse (train, test) = 9.39542e+14 9.39543e+14
- alpha = 1.000e-02 : rmse (train, test) = 9.39542e+14 9.39543e+14
- alpha = 1.000e-01 : rmse (train, test) = 0.03738 0.04961
- alpha = 1.000e+00 : rmse (train, test) = 0.03900 0.04742
- alpha = 1.000e+01 : rmse (train, test) = 0.04058 0.04584
MLPs were written into "phono3py.pmlp"
------------------------------ pypolymlp end -------------------------------
Generate random displacements
Twice of number of snapshots will be generated for plus-minus displacements.
Displacement distance: 0.001
Evaluate forces in 400 supercells by pypolymlp
-------------------------------- Symfc start -------------------------------
Symfc is a non-trivial force constants calculator. Please cite the paper:
A. Seko and A. Togo, arXiv:2403.03588.
Symfc is developed at https://github.com/symfc/symfc.
Computing [2, 3] order force constants.
Increase log-level to watch detailed symfc log.
--------------------------------- Symfc end --------------------------------
-------------------------------- Symfc start -------------------------------
Symfc is a non-trivial force constants calculator. Please cite the paper:
A. Seko and A. Togo, arXiv:2403.03588.
Symfc is developed at https://github.com/symfc/symfc.
Computing [2] order force constants.
Increase log-level to watch detailed symfc log.
--------------------------------- Symfc end --------------------------------
Max drift of fc3: -0.000000 (xyx) 0.000000 (zyy) -0.000000 (xyx)
Max drift of fc2: 0.000000 (xx) 0.000000 (xx)
fc3 was written into "fc3.hdf5".
fc2 was written into "fc2.hdf5".
----------- None of ph-ph interaction calculation was performed. -----------
Dataset generated using MMLPs was written in "phono3py_mlp_eval_dataset.yaml".
Summary of calculation was written in "phono3py.yaml".
-------------------------[time 2024-09-19 15:34:41]-------------------------
_
___ _ __ __| |
/ _ \ '_ \ / _` |
| __/ | | | (_| |
\___|_| |_|\__,_|
```

The development of MLPs follows the same procedure as described for the
systematic displacements (in step 5) above.

After the MLPs are developed, 200 supercells with random directional
displacements are generated. These displacements are then inverted, resulting in
an additional 200 supercells. In total, 400 supercells are created. The forces
for these supercells are then evaluated. Finally, the force constants are
calculated using symfc.
4 changes: 4 additions & 0 deletions example/NaCl-pypolymlp/BORN
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# epsilon and Z* of atoms 1 2
2.56345522 0.00000000 -0.00000000 0.00000000 2.56345522 -0.00000000 0.00000000 -0.00000000 2.56345522
1.09044426 0.00000000 -0.00000000 0.00000000 1.09044426 -0.00000000 0.00000000 -0.00000000 1.09044426
-1.09044426 -0.00000000 0.00000000 -0.00000000 -1.09044426 0.00000000 -0.00000000 0.00000000 -1.09044426
16 changes: 16 additions & 0 deletions example/NaCl-pypolymlp/POSCAR-unitcell
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@@ -0,0 +1,16 @@
generated by phonopy
1.0
5.6032874770547529 0.0000000000000000 0.0000000000000000
0.0000000000000000 5.6032874770547529 0.0000000000000000
0.0000000000000000 0.0000000000000000 5.6032874770547529
Na Cl
4 4
Direct
0.0000000000000000 0.0000000000000000 0.0000000000000000
0.0000000000000000 0.5000000000000000 0.5000000000000000
0.5000000000000000 0.0000000000000000 0.5000000000000000
0.5000000000000000 0.5000000000000000 0.0000000000000000
0.5000000000000000 0.5000000000000000 0.5000000000000000
0.5000000000000000 0.0000000000000000 0.0000000000000000
0.0000000000000000 0.5000000000000000 0.0000000000000000
0.0000000000000000 0.0000000000000000 0.5000000000000000
Binary file added example/NaCl-pypolymlp/phono3py_disp.yaml.xz
Binary file not shown.
7 changes: 4 additions & 3 deletions phono3py/cui/create_force_sets.py
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Expand Up @@ -417,6 +417,7 @@ def _set_forces_and_nac_params(
calc_dataset_fc2["supercell_energies"], dtype="double"
)

nac_params = get_nac_params(primitive=ph3py_yaml.primitive)
if nac_params:
ph3py_yaml.nac_params = nac_params
if ph3py_yaml.nac_params is None:
nac_params = get_nac_params(primitive=ph3py_yaml.primitive)
if nac_params:
ph3py_yaml.nac_params = nac_params
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