general-property-units
ResearchReference guide for energy, force, and stress units across MLIPs, DFT codes, and ASE, including conversion factors.
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Units Reference for Atomistic Simulations
Goal
Provide a single authoritative reference for units of energy, forces, and stress across all MLIPs, DFT codes, and simulation tools used in this project, including the conversions applied internally.
Project Standard
All internal representations follow the ASE (Atomic Simulation Environment) convention:
| Quantity | Standard Unit | Notes |
|---|---|---|
| Energy | eV | Total energy of the system |
| Energy per atom | eV/atom | Used for MAE reporting and training labels |
| Forces | eV/Å | Negative gradient of energy w.r.t. position |
| Stress | eV/ų | Voigt notation, 6-component (xx, yy, zz, yz, xz, xy) |
MLIP Model Units
Prediction (Inference)
All MLIP wrappers return predictions in ASE standard units through their ASE calculator interface:
| Model | Energy | Forces | Stress | Notes |
|---|---|---|---|---|
| MACE | eV | eV/Š| eV/ų | Native ASE units |
| CHGNet | eV | eV/Š| eV/ų | Native ASE units |
| UMA (FairChem) | eV | eV/Š| eV/ų | Native ASE units |
| M3GNet / TensorNet (MatGL) | eV | eV/Š| eV/ų | Native ASE units |
Training Input Labels
Training labels in training_data.json are stored in ASE standard units (eV, eV/Å, eV/ų). Conversions to trainer-specific units are handled automatically inside each wrapper:
| Trainer | Energy Input | Force Input | Stress Input | Internal Conversion |
|---|---|---|---|---|
| MACE | eV | eV/Å | eV/ų | None — trains in eV/ų |
| FairChem (UMA) | eV | eV/Å | eV/ų | None — trains in eV/ų |
| MatGL (CHGNet/M3GNet) | eV | eV/Å | GPa (converted) | eV/ų → GPa in _prepare_training_data |
[!IMPORTANT] MatGL is the only trainer that requires stress conversion. The conversion from eV/ų → GPa is performed automatically inside
MATGLWrapper._prepare_training_data(). Users should always provide stress labels in eV/ų.
Training Output (Saved Metrics)
Each MLIP trainer natively reports MAE in eV. All wrappers apply a ×1000 conversion to save MAE values in meV to training_history.json and plot axes in training_history.png, for human readability and consistent cross-model comparison:
| Trainer | Native Energy MAE | Native Force MAE | Native Stress MAE | Saved Unit |
|---|---|---|---|---|
| MACE | eV/atom | eV/Å | eV/ų | meV (×1000) |
| FairChem (UMA) | eV/atom | eV/Å | eV/ų | meV (×1000) |
| MatGL (CHGNet/M3GNet) | eV/atom | eV/Å | GPa → eV/ų | meV (×1000) |
The training_history.json keys and their units:
| Key | Unit |
|---|---|
energy_mae_train / energy_mae_val | meV/atom |
force_mae_train / force_mae_val | meV/Å |
stress_mae_train / stress_mae_val | meV/ų |
loss_train / loss_val | Dimensionless (weighted combination) |
[!NOTE] For MatGL stress: the trainer computes MAE in GPa internally. The wrapper converts back to eV/ų first, then multiplies by 1000 to get meV/ų, matching the other wrappers.
DFT Code Units
VASP
| Quantity | VASP Internal | VASP OUTCAR | Conversion to ASE Standard |
|---|---|---|---|
| Energy | eV | eV | None needed |
| Forces | eV/Å | eV/Å | None needed |
| Stress | kB (kilo-Bar) | kB (and GPa) | kB × 0.1 = GPa, then GPa × 0.0062415 = eV/ų |
[!NOTE] VASP stores stress internally in kB (kilo-Bar). The
vasprun.xmlparser in pymatgen returns stress in kB. The Atomate2 MCP tool applies the conversionkB → eV/ųautomatically whenconvert_units=True(default).
Sign Convention
VASP reports stress with the opposite sign to the physics and ASE convention:
- VASP: positive = compressive (pressure-like)
- ASE/Physics/MLIPs: positive = tensile
The sign flip is handled during VASP output parsing (e.g. in the atomate2 MCP tool, VASP stress is multiplied by -1 in addition to the unit conversion).
Common Conversion Factors
| From | To | Factor | ASE Code |
|---|---|---|---|
| GPa | eV/ų | 0.00624150913 | ase.units.GPa |
| eV/ų | GPa | 160.21766208 | 1.0 / ase.units.GPa |
| kB | GPa | 0.1 | — |
| kB | eV/ų | 0.000624150913 | 0.1 * ase.units.GPa |
| eV | kJ/mol | 96.4853 | ase.units.kJ / ase.units.mol |
| eV | kcal/mol | 23.0605 | ase.units.kcal / ase.units.mol |
| Å | Bohr | 1.8897259886 | 1.0 / ase.units.Bohr |
Quick Reference: Python Conversions
# Env: base-agent
from ase import units
# Stress conversions
stress_GPa = stress_eV_per_A3 / units.GPa # eV/ų → GPa
stress_eV_per_A3 = stress_GPa * units.GPa # GPa → eV/ų
stress_eV_per_A3 = stress_kB * 0.1 * units.GPa # kB → eV/ų
# Energy conversions
energy_kJ_per_mol = energy_eV * units.kJ / units.mol
energy_kcal_per_mol = energy_eV * units.kcal / units.mol
Constraints
- Never mix unit systems within a single workflow.
- Always verify stress units when comparing MLIP predictions to DFT references.
- Training data JSON files must use eV/ų for stress — wrapper-internal conversion handles the rest.
- When reporting MAE in papers/docs, specify the unit explicitly (e.g., "Force MAE: 50 meV/Å").
Author: Bowen Deng Contact: GitHub @learningmatter-mit