Møller-Plesset Adiabatic Connection Theory for Diverse Noncovalent Interactions

02 May 2025, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Møller–Plesset adiabatic connection (MPAC) theory provides a powerful framework for constructing approximations to wavefunction-based correlation energy, enabling modeling of non- covalent interactions (NCIs) with near-CCSD(T) accuracy. We show that approximate MPAC functionals consistently outperform MP2 and dispersion-corrected DFT (DFT+DISP) across diverse systems, including charged and charge-transfer complexes. MPAC functionals oper- ate holistically at the electronic level, require no heuristic dispersion corrections, and achieve near-chemical accuracy even for abnormal NCIs, cases where DFT+DISP errors exceed those of DFT. To further improve MPAC for abnormal cases without compromising overall perfor- mance, we introduce MPAC25, a simple two-parameter functional treating neutral and charged NCIs equally, as demonstrated on DES15K benchmarks. Overall, MPAC functionals effec- tively describe a wide range of NCIs, including those beyond the reach of other methods, rep- resenting a significant step toward predictive simulations of molecular interactions in complex environments and motivating further MPAC developments.

Keywords

MPAC
noncovalent interactions
density functional theory
perturbation theory
DFT
MP2
electron correlation
adiabatic connection
quantum chemistry

Supplementary materials

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Title
Supporting Inoformation for: Møller-Plesset Adiabatic Connection Theory for Diverse Noncovalent Interactions
Description
Interaction energy values in kcal/mol associated with the B30 analysis for all functionals included in Figure 2; abnormal NCI count as a function of ξ for different functionals supporting Figure 3; MAE values associated with Figure 4; [d1 , d2 ] surfaces of NCCE31, B30 and B30(ab)+CT7 associated with the heat maps in Figure 5; loss landscape and heatmap of S66×8; details on [d1 , d2 ] optimization; table with MAE, MSE, RMSE and MAX error associated with Figure 6 and Table 1.
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