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Toward Efficient GW Calculations Using Numerical Atomic Orbitals: Benchmarking and Application to Molecular Dynamics
Peter Koval1, Mathias Per Ljungberg1, Moritz Müller1
1Donostia International Physics Center , Paseo Manuel de Lardizabal 4 , 20018 Donostia-San Sebastián , Spain.
This study introduces an efficient computational method using numerical atomic orbitals for Hedin's GW approximation, enabling accurate modeling of large molecules. The approach reveals significantly stronger electron-phonon couplings compared to standard DFT-GGA methods.
Area of Science:
- Computational Chemistry
- Quantum Mechanics
- Materials Science
Background:
- The GW approximation is a powerful tool for calculating electronic properties of materials.
- Traditional plane-wave basis sets can be computationally expensive for large systems.
- Numerical atomic orbitals offer a potentially more cost-effective alternative.
Purpose of the Study:
- To implement and benchmark an efficient GW approximation using numerical atomic orbitals.
- To assess the accuracy and cost-effectiveness of this approach for molecular systems.
- To investigate electron-phonon couplings in complex molecules.
Main Methods:
- Implementation of the GW approximation with numerical atomic orbitals and pseudopotentials.
- Utilized a contour deformation technique and one-shot quasiparticle energy extraction.
- Tested on G2/97 and acceptor molecule test sets, and applied to a photochromic compound using ab initio molecular dynamics.
Main Results:
- The numerical atomic orbital-based GW method demonstrates good performance and basis set convergence.
- Electron-phonon couplings computed with GW were found to be approximately twice as large as those from DFT-GGA.
- Frozen-phonon calculations corroborated the enhanced electron-phonon coupling findings.
Conclusions:
- The developed GW method using numerical atomic orbitals provides an efficient and accurate approach for electronic structure calculations.
- This method accurately captures electron-phonon interactions, offering insights into molecular dynamics and properties.
- The findings suggest this approach is suitable for modeling large molecules and complex phenomena.
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