An Energy‐Corrected Fast Post‐ <scp>SCF</scp> Local‐Hybrid Scheme for Highly Accurate Energy Differences of Large Main‐Group Systems

Local-hybrid (LH) density functionals admix exact exchange locally in real space and thereby can be powerful tools to ameliorate the usual zero-sum game between reducing self-interaction errors and modeling static correlation. But as with other hybrid functionals the practical use of LHs for large systems is limited by the cost of evaluating exact-exchange quantities self-consistently. Here we introduce an energy-corrected local-hybrid framework, EC(LH)@(m)GGA, in which a computationally expedient semi-local reference density is used for a single post-SCF evaluation with an advanced LH. Using the recent neural-network-based LH25nP LH as a prototype, we show that the EC route based on GGA or meta-GGA orbitals preserves the characteristic accuracy profile of the parent local hybrid and reaches state-of-the-art rung 4 performance on the GMTKN55 test suite (WTMAD-2 around 2.4-2.7 kcal/mol, depending on grid). The top performance of LH25nP for spin-restricted bond dissociation as a strong-correlation measure is retained in this framework. The dominant post-SCF overhead in timing is governed by the EC grid. For the practical gridsize 3, the total EC(LH)@(m)GGA cost is only about ~2-3× that of a GGA single point, typically about an order of magnitude less than a full LH SCF. Overall, EC(LH)@(m)GGA provides a simple post-SCF route to state-of-the-art rung-4 energetics at a cost close to semi-local DFT, applicable to large systems.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2026-06-16
DOI
https://doi.org/10.1002/jcc.70431
Primary Topic
Machine Learning in Materials Science
Type
article
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article

An Energy‐Corrected Fast Post‐ SCF Local‐Hybrid Scheme for Highly Accurate Energy Differences of Large Main‐Group Systems

Artur Wodyński, Martin Kaupp
Journal of Computational Chemistry
Machine Learning in Materials Science
article

An Energy‐Corrected Fast Post‐ SCF Local‐Hybrid Scheme for Highly Accurate Energy Differences of Large Main‐Group Systems

Artur Wodyński, Martin Kaupp
article en

Abstract

Local-hybrid (LH) density functionals admix exact exchange locally in real space and thereby can be powerful tools to ameliorate the usual zero-sum game between reducing self-interaction errors and modeling static correlation. But as with other hybrid functionals the practical use of LHs for large systems is limited by the cost of evaluating exact-exchange quantities self-consistently. Here we introduce an energy-corrected local-hybrid framework, EC(LH)@(m)GGA, in which a computationally expedient semi-local reference density is used for a single post-SCF evaluation with an advanced LH. Using the recent neural-network-based LH25nP LH as a prototype, we show that the EC route based on GGA or meta-GGA orbitals preserves the characteristic accuracy profile of the parent local hybrid and reaches state-of-the-art rung 4 performance on the GMTKN55 test suite (WTMAD-2 around 2.4-2.7 kcal/mol, depending on grid). The top performance of LH25nP for spin-restricted bond dissociation as a strong-correlation measure is retained in this framework. The dominant post-SCF overhead in timing is governed by the EC grid. For the practical gridsize 3, the total EC(LH)@(m)GGA cost is only about ~2-3× that of a GGA single point, typically about an order of magnitude less than a full LH SCF. Overall, EC(LH)@(m)GGA provides a simple post-SCF route to state-of-the-art rung-4 energetics at a cost close to semi-local DFT, applicable to large systems.

Journal of Computational ChemistryVol. 47(17)
Technische Universität Berlin (DE)
Affordable and clean energy
Openalex Percentile: Top 14%
Machine Learning in Materials Science
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