<scp>REG</scp> ‐ <scp>MP2</scp> : A New <scp>MP2</scp> Method Accelerated by the Regularization of the Fock Matrix and Energy Denominator Matrix

ABSTRACT In this work, we newly developed the REG–MP2 method, an extension of Møller–Plesset perturbation theory (MP2) accelerated via dual regularization (REG) of the Fock matrix and energy denominator matrix, based on canonical MP2 references for molecular systems. This technique retains the high efficiency of MP2 while introducing a regularization parameter to resolve numerical instability originating from ill‐conditioned energy denominator matrices during calculations. The accuracy of REG–MP2 was extensively validated across a range of open–shell and closed–shell molecules, yielding a mean absolute deviation (MAD) of only 0.32 kcal/mol in calculated energies relative to canonical MP2 results. Additionally, we developed three variants of REG–MP2: REGDF–MP2 (incorporating density fitting), REGFC–MP2 (with frozen–core approximation), and REGDF–FC–MP2 (combining both approximations). Using the cc–pVDZ basis set and 28 parallel cores, the average computational time per benchmarked complex for the five MP2 methods ranks as follows: REGDF–MP2 (0.24 s) &lt; REG–MP2 (0.28 s) &lt; REGFC–MP2 (0.79 s) &lt; REGDF–FC–MP2 (0.84 s) &lt; MP2 (11.02 s). Among these, REG–MP2 is recommended for its optimal balance of accuracy and efficiency. This work presents REG–MP2 and its variants as new efficient MP2–based approaches, suitable for quantum chemical calculations requiring balanced accuracy and efficiency with manageable computational costs.

Authors

Institutions

Publication Details

Journal
International Journal of Quantum Chemistry
Published
2026-04-27
DOI
https://doi.org/10.1002/qua.70198
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

REG ‐ MP2 : A New MP2 Method Accelerated by the Regularization of the Fock Matrix and Energy Denominator Matrix

S F Zhang, Y Zhang, Yu Cheng
International Journal of Quantum Chemistry
Advanced Chemical Physics Studies
article

REG ‐ MP2 : A New MP2 Method Accelerated by the Regularization of the Fock Matrix and Energy Denominator Matrix

S F Zhang, Y Zhang, Yu Cheng
article en

Abstract

ABSTRACT In this work, we newly developed the REG–MP2 method, an extension of Møller–Plesset perturbation theory (MP2) accelerated via dual regularization (REG) of the Fock matrix and energy denominator matrix, based on canonical MP2 references for molecular systems. This technique retains the high efficiency of MP2 while introducing a regularization parameter to resolve numerical instability originating from ill‐conditioned energy denominator matrices during calculations. The accuracy of REG–MP2 was extensively validated across a range of open–shell and closed–shell molecules, yielding a mean absolute deviation (MAD) of only 0.32 kcal/mol in calculated energies relative to canonical MP2 results. Additionally, we developed three variants of REG–MP2: REGDF–MP2 (incorporating density fitting), REGFC–MP2 (with frozen–core approximation), and REGDF–FC–MP2 (combining both approximations). Using the cc–pVDZ basis set and 28 parallel cores, the average computational time per benchmarked complex for the five MP2 methods ranks as follows: REGDF–MP2 (0.24 s) &lt; REG–MP2 (0.28 s) &lt; REGFC–MP2 (0.79 s) &lt; REGDF–FC–MP2 (0.84 s) &lt; MP2 (11.02 s). Among these, REG–MP2 is recommended for its optimal balance of accuracy and efficiency. This work presents REG–MP2 and its variants as new efficient MP2–based approaches, suitable for quantum chemical calculations requiring balanced accuracy and efficiency with manageable computational costs.

International Journal of Quantum ChemistryVol. 126(9)
University of Science and Technology of China (CN), Xiamen Institute of Rare-earth Materials (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province
Affordable and clean energy
Openalex Percentile: Top 5%
Advanced Chemical Physics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.