First-principles electrostatic potentials for reliable alignment at interfaces and defects.

Area of Science:

• Materials Science
• Computational Physics
• Physical Chemistry

Background:

• Accurate electrostatic potential alignment is crucial for first-principles calculations.
• Challenges arise from potential oscillations at atomic scales, especially with changing geometries.
• Existing methods struggle with system-size convergence for interface and defect studies.

Purpose of the Study:

• To introduce a novel method for suppressing electrostatic potential oscillations.
• To enhance the accuracy and convergence of first-principles predictions.
• To enable practical calculations of charged defects at solid-liquid interfaces.

Main Methods:

• Developed a technique to eliminate deep wells in atomic potentials.
• Applied the method to improve system-size convergence in calculations.
• Integrated the method with continuum solvation theories for interface studies.

Main Results:

• Successfully suppressed strong electrostatic potential oscillations.
• Demonstrated significant improvements in system-size convergence for various predictions.
• Calculated reduced formation energies for charged vacancies at solid-liquid interfaces (e.g., 0.5 eV for NaCl(001) in water).

Conclusions:

• The new method offers a robust solution for electrostatic potential alignment in computational materials science.
• It enables previously impractical calculations, particularly for charged defects in complex environments.
• This advancement facilitates more accurate and efficient materials simulations.