Phonons¶
Set up environment (optional)¶
These steps are required for Google Colab, but may work on other systems too:
[1]:
# import locale
# locale.getpreferredencoding = lambda: "UTF-8"
# ! pip uninstall torch torchaudio torchvision numpy -y
# ! uv pip install janus-core[all] data-tutorials torch==2.5.1 --system
# get_ipython().kernel.do_shutdown(restart=True)
Phonons (periodic)¶
[2]:
from ase.build import bulk
from weas_widget import WeasWidget
from janus_core.calculations.phonons import Phonons
Prepare for phonon calculations on salt¶
[3]:
NaCl = bulk("NaCl", "rocksalt", a=5.63, cubic=True)
v=WeasWidget()
v.from_ase(NaCl)
v.avr.model_style = 1
v.avr.show_hydrogen_bonds = True
v
[3]:
Note: Set filter_func = None for geometry optimization via minimize_kwargs, so cell is fixed
[4]:
phonons_mace = Phonons(
struct=NaCl.copy(),
arch="mace_mp",
device="cpu",
model_path="small",
calc_kwargs={"default_dtype": "float64"},
supercell=[2, 2, 2],
displacement=0.01,
temp_step=10.0,
temp_min=0.0,
temp_max=1000.0,
minimize=False,
force_consts_to_hdf5=True,
plot_to_file=True,
symmetrize=False,
write_full=True,
minimize_kwargs={"filter_func": None},
write_results=True,
)
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/e3nn/o3/_wigner.py:10: UserWarning: Environment variable TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD detected, since the`weights_only` argument was not explicitly passed to `torch.load`, forcing weights_only=False.
_Jd, _W3j_flat, _W3j_indices = torch.load(os.path.join(os.path.dirname(__file__), 'constants.pt'))
cuequivariance or cuequivariance_torch is not available. Cuequivariance acceleration will be disabled.
Using Materials Project MACE for MACECalculator with /home/runner/.cache/mace/20231210mace128L0_energy_epoch249model
Using float64 for MACECalculator, which is slower but more accurate. Recommended for geometry optimization.
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/mace/calculators/mace.py:139: UserWarning: Environment variable TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD detected, since the`weights_only` argument was not explicitly passed to `torch.load`, forcing weights_only=False.
torch.load(f=model_path, map_location=device)
Optimize structure and calculate force constants using phonopy.
This will save phonopy to Cl4Na4-phonopy.yml, and additionally save force constants to Cl4Na4-force_constants.hdf5:
[5]:
phonons_mace.calc_force_constants()
Check cell parameters have not been changed by optimization:
[6]:
print(phonons_mace.struct.cell.cellpar())
[ 5.63 5.63 5.63 90. 90. 90. ]
Calculate and plot band structure, writing results to Cl4Na4-auto_bands.yml, and saving the figure as Cl4Na4-auto_bands.svg:
[7]:
phonons_mace.calc_bands(write_bands=True)
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
Calculate thermal properties, saving the heat capacity, enthalpy, and entropy, to Cl4Na4-thermal.dat:
[8]:
phonons_mace.calc_thermal_props(write_thermal=True)
Phonon calcualtions with optimization of cell¶
The same calculations can be run with cell lengths, but not angles, optimized.
Note: Set "filter_kwargs" = {"hydrostatic_strain": True} for geometry optimization via minimize_kwargs, so cell angles are fixed, but lengths can change
[9]:
phonons_mace_lengths_only = Phonons(
struct=NaCl.copy(),
arch="mace_mp",
device="cpu",
model_path="small",
calc_kwargs={"default_dtype": "float64"},
supercell=[2, 2, 2],
displacement=0.01,
temp_step=10.0,
temp_min=0.0,
temp_max=1000.0,
minimize=True,
force_consts_to_hdf5=True,
plot_to_file=True,
symmetrize=False,
write_full=True,
minimize_kwargs={"filter_kwargs": {"hydrostatic_strain": True}},
write_results=True,
)
Using Materials Project MACE for MACECalculator with /home/runner/.cache/mace/20231210mace128L0_energy_epoch249model
Using float64 for MACECalculator, which is slower but more accurate. Recommended for geometry optimization.
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/mace/calculators/mace.py:139: UserWarning: Environment variable TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD detected, since the`weights_only` argument was not explicitly passed to `torch.load`, forcing weights_only=False.
torch.load(f=model_path, map_location=device)
[10]:
phonons_mace_lengths_only.calc_bands(write_bands=True)
Step Time Energy fmax
LBFGS: 0 17:29:43 -27.030082 0.129748
LBFGS: 1 17:29:43 -27.030795 0.126795
LBFGS: 2 17:29:43 -27.046337 0.004990
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
Confirm changes to cell lengths:
[11]:
print(phonons_mace_lengths_only.struct.cell.cellpar())
[ 5.68761079 5.68761079 5.68761079 90. 90. 90. ]
Phonon calculations with pressure¶
Calculations can also be run at a fixed pressure, as well as optmising both the cell lengths and angles.
Note: Set "filter_kwargs" = {"scalar_pressure": x} for geometry optimization via minimize_kwargs to set the pressure. Without setting hydrostatic_strain = True, both the cell lengths and angles will be optimized
[12]:
phonons_mace_pressure = Phonons(
struct=NaCl.copy(),
arch="mace_mp",
device="cpu",
model_path="small",
calc_kwargs={"default_dtype": "float64"},
supercell=[2, 2, 2],
displacement=0.01,
temp_step=10.0,
temp_min=0.0,
temp_max=1000.0,
minimize=True,
force_consts_to_hdf5=True,
plot_to_file=True,
symmetrize=False,
write_full=True,
minimize_kwargs={"filter_kwargs": {"scalar_pressure": 0.1}},
write_results=True,
)
Using Materials Project MACE for MACECalculator with /home/runner/.cache/mace/20231210mace128L0_energy_epoch249model
Using float64 for MACECalculator, which is slower but more accurate. Recommended for geometry optimization.
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/mace/calculators/mace.py:139: UserWarning: Environment variable TORCH_FORCE_NO_WEIGHTS_ONLY_LOAD detected, since the`weights_only` argument was not explicitly passed to `torch.load`, forcing weights_only=False.
torch.load(f=model_path, map_location=device)
[13]:
phonons_mace_pressure.calc_bands(write_bands=True)
Step Time Energy fmax
LBFGS: 0 17:29:50 -26.918700 0.115825
LBFGS: 1 17:29:50 -26.919268 0.113180
LBFGS: 2 17:29:50 -26.931573 0.003954
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
Confirm changes to cell:
[14]:
print(phonons_mace_pressure.struct.cell.cellpar())
[ 5.68122692 5.68122692 5.68122692 90. 90. 90. ]
Compare band structures for different optimization options and save to files:
[15]:
phonons_mace.write_bands(plot_file="NaCl_mace.svg")
phonons_mace_lengths_only.write_bands(plot_file="NaCl_lengths_only.svg")
phonons_mace_pressure.write_bands(plot_file="NaCl_pressure.svg")
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
Comparing the band structure from MACE to CHGNet and SevenNet:¶
Calculate band structure using CHGNet¶
[16]:
phonons_chgnet = Phonons(
struct=NaCl.copy(),
arch="chgnet",
device="cpu",
supercell=[2, 2, 2],
displacement=0.01,
temp_step=10.0,
temp_min=0.0,
temp_max=1000.0,
minimize=True,
force_consts_to_hdf5=True,
plot_to_file=True,
symmetrize=False,
write_full=True,
minimize_kwargs={"filter_func": None},
write_results=True,
)
CHGNet v0.3.0 initialized with 412,525 parameters
CHGNet will run on cpu
[17]:
phonons_chgnet.calc_bands(write_bands=True)
Step Time Energy fmax
LBFGS: 0 17:30:13 -29.326620 0.000000
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
Calculate band structure using SevenNet¶
[18]:
phonons_sevennet = Phonons(
struct=NaCl.copy(),
arch="sevennet",
device="cpu",
supercell=[2, 2, 2],
displacement=0.01,
temp_step=10.0,
temp_min=0.0,
temp_max=1000.0,
minimize=True,
force_consts_to_hdf5=True,
plot_to_file=True,
symmetrize=False,
write_full=True,
minimize_kwargs={"filter_func": None},
write_results=True,
)
[19]:
phonons_sevennet.calc_bands(write_bands=True)
Step Time Energy fmax
LBFGS: 0 17:30:22 -27.057369 0.000000
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
Compare and save plots for each MLIP:
[20]:
phonons_mace.write_bands(plot_file="MACE.svg")
phonons_chgnet.write_bands(plot_file="chgnet.svg")
phonons_sevennet.write_bands(plot_file="sevennet.svg")
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
/home/runner/work/janus-core/janus-core/.venv/lib/python3.12/site-packages/seekpath/hpkot/__init__.py:156: DeprecationWarning: dict interface is deprecated. Use attribute interface instead
conv_lattice = dataset['std_lattice']
Note: It may be necessary to reset the default PyTorch dtype if different calculators have been set:
[21]:
import torch
torch.set_default_dtype(torch.float64)
phonons_mace.calc_force_constants()