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general-property-units

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Reference 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:

QuantityStandard UnitNotes
EnergyeVTotal energy of the system
Energy per atomeV/atomUsed for MAE reporting and training labels
ForceseV/ÅNegative gradient of energy w.r.t. position
StresseV/ųVoigt 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:

ModelEnergyForcesStressNotes
MACEeVeV/ÅeV/ųNative ASE units
CHGNeteVeV/ÅeV/ųNative ASE units
UMA (FairChem)eVeV/ÅeV/ųNative ASE units
M3GNet / TensorNet (MatGL)eVeV/ÅeV/ųNative 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:

TrainerEnergy InputForce InputStress InputInternal Conversion
MACEeVeV/ÅeV/ųNone — trains in eV/ų
FairChem (UMA)eVeV/ÅeV/ųNone — trains in eV/ų
MatGL (CHGNet/M3GNet)eVeV/ÅGPa (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:

TrainerNative Energy MAENative Force MAENative Stress MAESaved Unit
MACEeV/atomeV/ÅeV/ųmeV (×1000)
FairChem (UMA)eV/atomeV/ÅeV/ųmeV (×1000)
MatGL (CHGNet/M3GNet)eV/atomeV/ÅGPa → eV/ųmeV (×1000)

The training_history.json keys and their units:

KeyUnit
energy_mae_train / energy_mae_valmeV/atom
force_mae_train / force_mae_valmeV/Å
stress_mae_train / stress_mae_valmeV/ų
loss_train / loss_valDimensionless (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

QuantityVASP InternalVASP OUTCARConversion to ASE Standard
EnergyeVeVNone needed
ForceseV/ÅeV/ÅNone needed
StresskB (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.xml parser in pymatgen returns stress in kB. The Atomate2 MCP tool applies the conversion kB → eV/ų automatically when convert_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

FromToFactorASE Code
GPaeV/ų0.00624150913ase.units.GPa
eV/ųGPa160.217662081.0 / ase.units.GPa
kBGPa0.1—
kBeV/ų0.0006241509130.1 * ase.units.GPa
eVkJ/mol96.4853ase.units.kJ / ase.units.mol
eVkcal/mol23.0605ase.units.kcal / ase.units.mol
ÅBohr1.88972598861.0 / 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