Size-Consistent Adiabatic Connection Functionals via Orbital-Based Matrix Interpolation
Kyle Bystrom, Timothy C. Berkelbach
TL;DR
The paper tackles the long-standing issue of size-consistency in adiabatic-connection functionals by introducing orbital-based size-consistent matrix interpolation (OSMI) for ACPT2. By forming correlation-energy matrices in the space of occupied KS orbitals and integrating over α with a matrix-valued interpolation (including a matrix modISI form), the authors achieve both size-consistency and orbital-invariance, while enabling a simple nonempirical AC and a one-parameter strong-interaction limit. They demonstrate that OSMI-ACPT2 accurately reproduces uniform electron gas correlation across densities, improves dissociation curves in molecular systems, and delivers competitive GMTKN55 performance—outperforming MP2, κ-MP2, and several nonempirical functionals, and closely approaching state-of-the-art hybrids for barrier heights and self-interaction-sensitive reactions. The approach shows promise for heterogeneous chemical systems and surfaces, offering a framework that preserves fundamental physics while enabling broader applicability of AC-based functionals.
Abstract
We introduce a size-consistent and orbital-invariant formalism for constructing correlation functionals based on the adiabatic connection for density functional theory (DFT). By constructing correlation energy matrices for the weak and strong correlation limits in the space of occupied orbitals, our method, which we call orbital-based size-consistent matrix interpolation (OSMI), avoids previous difficulties in the construction of size-consistent adiabatic connection functionals. We design a simple, nonempirical adiabatic connection and a one-parameter strong-interaction limit functional, and we show that the resulting method reproduces the correlation energy of the uniform electron gas over a wide range of densities. When applied to subsets of the GMTKN55 thermochemistry database, OSMI is more accurate on average than MP2 and nonempirical density functionals. Most notably, OSMI provides excellent predictions of the barrier heights we tested, with average errors of less than 2 kcal mol$^{-1}$. Finally, we find that OSMI improves the trade-off between fractional spin and fractional charge errors for bond dissociation curves compared to DFT and MP2. The fact that OSMI provides a good description of molecular systems and the uniform electron gas, while also maintaining low self-interaction error and size-consistency, suggests that it could provide a framework for studying heterogeneous chemical systems.
