Sub-kJ/mol Precision at Practical Cost for Molecular Solids through Local Coupled-Cluster Approaches

Abstract Generation of numerically converged coupled-cluster reference energies of molecular crystals remains highly non-routine. Yet, such data points are critically needed as computational methodologies strive to reach correlated wave-function accuracy in condensed-phase systems. Localized-orbital coupled-cluster approaches applied within the many-body expansion promise a scalable route to these reference results. Here, we report solutions to a technical challenge when using this methodology─at long intermolecular distances, the numerical noise due to local approximations can accumulate for some molecular crystals into a large-scale drift of the correlation energy, especially in the nonadditive three-body contributions. Within the local natural orbital (LNO) coupled-cluster method, we suggest well-balanced approaches to overcome this issue. At the benchmark level, we propose more accurate LNO-CCSD(T) settings that remove the artifacts at long distances and attain a numerical precision of 0.2 kJ/mol (maximum error) in the lattice energy, with a practical cost that is orders of magnitude lower than that of canonical CCSD(T). As an even more scalable solution, we propose a multi-level strategy that utilizes the established routine LNO-CCSD(T) precision tiers (Tight, vTight) but retains the numerical stability of the benchmark level by treating long-distance three-body systems with the random-phase approximation (RPA).

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry A
Published
2026-10-14
DOI
https://doi.org/10.1021/acs.jpca.6c05975
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

Sub-kJ/mol Precision at Practical Cost for Molecular Solids through Local Coupled-Cluster Approaches

Jiří Klimeš, Péter R. Nagy, Marcin Modrzejewski, Khanh Ngoc Pham
The Journal of Physical Chemistry A
Advanced Chemical Physics Studies
article

Sub-kJ/mol Precision at Practical Cost for Molecular Solids through Local Coupled-Cluster Approaches

Jiří Klimeš, Péter R. Nagy, Marcin Modrzejewski, Khanh Ngoc Pham
article en

Abstract

Abstract Generation of numerically converged coupled-cluster reference energies of molecular crystals remains highly non-routine. Yet, such data points are critically needed as computational methodologies strive to reach correlated wave-function accuracy in condensed-phase systems. Localized-orbital coupled-cluster approaches applied within the many-body expansion promise a scalable route to these reference results. Here, we report solutions to a technical challenge when using this methodology─at long intermolecular distances, the numerical noise due to local approximations can accumulate for some molecular crystals into a large-scale drift of the correlation energy, especially in the nonadditive three-body contributions. Within the local natural orbital (LNO) coupled-cluster method, we suggest well-balanced approaches to overcome this issue. At the benchmark level, we propose more accurate LNO-CCSD(T) settings that remove the artifacts at long distances and attain a numerical precision of 0.2 kJ/mol (maximum error) in the lattice energy, with a practical cost that is orders of magnitude lower than that of canonical CCSD(T). As an even more scalable solution, we propose a multi-level strategy that utilizes the established routine LNO-CCSD(T) precision tiers (Tight, vTight) but retains the numerical stability of the benchmark level by treating long-distance three-body systems with the random-phase approximation (RPA).

The Journal of Physical Chemistry A
Charles University (CZ), Budapest University of Technology and Economics (HU), University of Warsaw (PL)
European Commission, Ministerstvo Školství, Mládeže a Tělovýchovy, Magyar Tudományos Akadémia, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, European Research Council
Openalex Percentile: Top 66%
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.