Analytical Nuclear Gradients for State-Averaged Configuration Interaction Singles Variants: Application to Conical Intersections
Takashi Tsuchimochi

TL;DR
This paper develops analytical nuclear gradients for SACIS and SAECIS methods, enabling efficient geometry optimizations and conical intersection searches with improved accuracy over conventional CIS.
Contribution
It introduces a stable, low-cost framework for state-averaged CI singles with analytical gradients, enhancing conical intersection modeling in quantum chemistry.
Findings
SACIS and SAECIS qualitatively reproduce conical intersection topology.
Benchmark geometries have RMSDs below 0.1 Å compared to high-level methods.
SACIS effectively captures degeneracy and static correlation without spin projection.
Abstract
We derive analytical nuclear gradients for state-averaged orbital-optimized configuration interaction singles (SACIS) and its spin-projected extension (SAECIS), enabling efficient geometry optimization and minimum-energy conical intersection (MECX) searches within a low-cost CIS-based framework. The formulation employs a Lagrangian approach and explicitly removes null-space contributions in the coupled perturbed equations to ensure numerically stable gradients. For twisted-pyramidalized ethylene, both SACIS and SAECIS qualitatively reproduce the correct conical intersection topology, in sharp contrast to conventional CIS and ECIS. Benchmark calculations on twelve MECXs demonstrate that both methods reproduce geometries with mean RMSDs below 0.1~{\AA} relative to high-level reference methods. SACIS captures the essential degeneracy through variational orbital relaxation, which alleviates…
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