mat-defect-energy
Installation
SKILL.md
Point-Defect Formation Energy (MLIP)
Goal
To calculate the formation energy ($E_f$) of neutral point defects (vacancies, substitutions, and interstitials) using Machine Learning Interatomic Potentials (MLIPs). Formation energy is defined as:
$$E_f = E_\mathrm{defect} - \frac{n_\mathrm{defect}}{n_\mathrm{bulk}} E_\mathrm{bulk} + \sum_i \Delta n_i \mu_i$$
where $E_\mathrm{defect}$ and $E_\mathrm{bulk}$ are the total energies of the defective and pristine supercells, $n$ is the number of atoms, $\Delta n_i$ is the change in number of species $i$, and $\mu_i$ is the chemical potential of species $i$.
Instructions
1. Select Level of Theory
Choose an MLIP model. See ml-foundation-potentials for guidance.
- Recommended: r2SCAN-level potentials for inorganic defects (e.g.,
MACE-MH-1withmatpes_r2scanhead). - Use the same model for bulk and defect calculations.