Exact two-component Hamiltonians for relativistic quantum chemistry: Two-electron picture-change corrections made simple
Stefan Knecht, Michal Repisky, Hans J{\o}rgen Aagaard Jensen, Trond, Saue

TL;DR
This paper introduces two efficient matrix-algebraic methods, amfX2C and e(xtended)amfX2C, for accurately correcting two-electron picture-change effects in relativistic quantum chemistry within an exact two-component Hamiltonian framework.
Contribution
The paper presents novel, computationally efficient PCE correction models that are adaptable to mean-field theories, simplifying relativistic quantum chemical calculations.
Findings
Achieved ~10^-5 Hartree accuracy in spinor energies compared to four-component data.
Demonstrated high accuracy in molecular property calculations, including contact densities and ionization energies.
Validated models across various molecules, showing excellent agreement with reference data.
Abstract
Based on self-consistent field (SCF) atomic mean-field (amf) quantities, we present two simple, yet computationally efficient and numerically accurate matrix-algebraic approaches to correct both scalar-relativistic \textit{and} spin-orbit two-electron picture-change effects (PCE) arising within an exact two-component (X2C) Hamiltonian framework. Both approaches, dubbed amfX2C and e(xtended)amfX2C, allow us to uniquely tailor PCE corrections to mean-field models, Hartree-Fock or Kohn-Sham DFT, in the latter case also avoiding the need of a point-wise calculation of exchange-correlation PCE corrections. We assess the numerical performance of these PCE correction models on spinor energies of group-18 (closed-shell) and group-16 (open-shell) diatomic molecules, achieving a consistent Hartree accuracy compared to reference four-component data. Additional tests…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
