$\sigma$-SCF: A Direct Energy-targeting Method To Mean-field Excited States
Hong-Zhou Ye, Matthew Wellborn, Nathan D. Ricke, Troy Van, Voorhis

TL;DR
The paper introduces $\sigma$-SCF, a novel mean-field excited state method that targets specific states via energy estimates, avoiding variational collapse and enabling access to all excited states.
Contribution
It combines energy-targeting and variance optimization to reliably find excited states at the mean-field level, overcoming limitations of existing methods like $ riangle$-SCF.
Findings
Successfully applied to small atoms and molecules
Can target any excited state with a specified energy
Avoids variational collapse through variance-based optimization
Abstract
The mean-field solutions of electronic excited states are much less accessible than ground state (e.g.\ Hartree-Fock) solutions. Energy-based optimization methods for excited states, like -scf, tend to fall into the lowest solution consistent with a given symmetry -- a problem known as "variational collapse". In this work, we combine the ideas of direct energy-targeting and variance-based optimization in order to describe excited states at the mean-field level. The resulting method, -scf, has several advantages. First, it allows one to target any desired excited state by specifying a single parameter: a guess of the energy of that state. It can therefore, in principle, find \emph{all} excited states. Second, it avoids variational collapse by using a variance-based, unconstrained local minimization. As a consequence, all states -- ground or excited -- are treated on an…
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