On Multilevel Energy‐Based Fragmentation Methods

ABSTRACT Energy‐based fragmentation methods approximate the potential energy of a molecular system as a sum of contribution terms built from the energies of particular subsystems. Some such methods reduce to truncations of the many‐body expansion (MBE); others combine subsystem energies in a manner inspired by the principle of inclusion/exclusion (PIE). The combinatorial technique of Möbius inversion of sums over partially ordered sets, which generalizes the PIE, is known to provide a non‐recursive expression for the MBE contribution terms, and has also been connected to related cluster expansion methods. We build from these ideas a very general framework for decomposing potential functions into energetic contribution terms associated with elements of particular partially ordered sets (posets) and direct products thereof. Specific choices immediately reproduce not only the MBE, but also a number of other existing decomposition forms, including, for example, the multilevel ML‐BOSSANOVA schema. Furthermore, a different choice of poset product leads to a setup familiar from the combination technique for high‐dimensional approximation, which has a known connection to quantum‐chemical composite methods. We present the ML‐SUPANOVA decomposition form, which allows the further refinement of the terms of an MBE‐like expansion of the Born‐Oppenheimer potential according to systematic hierarchies of ab initio methods and of basis sets. We outline an adaptive algorithm for the a posteori construction of quasi‐optimal truncations of this decomposition. Some initial experiments are reported and discussed.

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Publication Details

Journal
International Journal of Quantum Chemistry
Published
2026-01-29
DOI
https://doi.org/10.1002/qua.70128
Citations
1
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
31.39
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article

On Multilevel Energy‐Based Fragmentation Methods

Jan Hamaekers, James Barker
1 citations
International Journal of Quantum Chemistry
Advanced Chemical Physics Studies
31.39
article

On Multilevel Energy‐Based Fragmentation Methods

Jan Hamaekers, James Barker
article en
1 citations

Abstract

ABSTRACT Energy‐based fragmentation methods approximate the potential energy of a molecular system as a sum of contribution terms built from the energies of particular subsystems. Some such methods reduce to truncations of the many‐body expansion (MBE); others combine subsystem energies in a manner inspired by the principle of inclusion/exclusion (PIE). The combinatorial technique of Möbius inversion of sums over partially ordered sets, which generalizes the PIE, is known to provide a non‐recursive expression for the MBE contribution terms, and has also been connected to related cluster expansion methods. We build from these ideas a very general framework for decomposing potential functions into energetic contribution terms associated with elements of particular partially ordered sets (posets) and direct products thereof. Specific choices immediately reproduce not only the MBE, but also a number of other existing decomposition forms, including, for example, the multilevel ML‐BOSSANOVA schema. Furthermore, a different choice of poset product leads to a setup familiar from the combination technique for high‐dimensional approximation, which has a known connection to quantum‐chemical composite methods. We present the ML‐SUPANOVA decomposition form, which allows the further refinement of the terms of an MBE‐like expansion of the Born‐Oppenheimer potential according to systematic hierarchies of ab initio methods and of basis sets. We outline an adaptive algorithm for the a posteori construction of quasi‐optimal truncations of this decomposition. Some initial experiments are reported and discussed.

International Journal of Quantum ChemistryVol. 126(3)
University of Bonn (DE), Fraunhofer Institute for Algorithms and Scientific Computing (DE)
Reduced inequalities
Openalex Percentile: Top 1%
Advanced Chemical Physics Studies
31.39
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On Multilevel Energy‐Based Fragmentation Methods — Jan Hamaekers, James Barker · International Journal of Quantum Chemistry (2026) | TGRS Research Map | TGRS