ReSpect: Relativistic spectroscopy DFT program package
Michal Repisky1, Stanislav Komorovsky2, Marius Kadek1
1Hylleraas Centre for Quantum Molecular Sciences, Department of Chemistry, UiT The Arctic University of Norway, N-9037 Tromsø, Norway.
The ReSpect program offers computationally efficient relativistic density functional theory (DFT) calculations for molecules and solids. It enables accurate predictions of spectroscopic properties for heavy elements, significantly reducing computational cost compared to non-relativistic methods.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Materials Science
Background:
- Growing interest in compounds with heavier elements necessitates advanced computational methods.
- Existing methods struggle to simultaneously address relativistic, spin-polarization, and electron correlation effects efficiently.
Purpose of the Study:
- Introduce the ReSpect program for efficient relativistic DFT calculations.
- Detail the theoretical and technical advancements enabling its performance.
- Demonstrate its capability in predicting molecular and solid-state properties.
Main Methods:
- Utilizes quasirelativistic two-component (X2C) and fully relativistic four-component (Dirac-Coulomb) DFT.
- Incorporates Kramers-unrestricted self-consistent field for spin polarization in open-shell systems.
- Employs efficient algorithms leveraging time-reversal symmetry, biquaternion algebra, and localized Gaussian-type orbitals.
Main Results:
- ReSpect handles molecules with >100 atoms at the four-component level efficiently on standard CPU clusters.
- Computational cost is often within a factor of 10 of non-relativistic calculations.
- Accurate prediction of diverse spectroscopic parameters (EPR, NMR, optical properties) and band structures.
Conclusions:
- ReSpect provides a computationally feasible approach for studying relativistic effects in heavy-element systems.
- The program facilitates accurate prediction of a wide range of molecular and solid-state properties.
- Enables advanced simulations including real-time TDDFT electron dynamics.
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