Error Control and Automatic Detection of Reference Active Spaces in Many-Body Expanded Full Configuration Interaction

We present a wide-reaching revamp of the generalized many-body expanded full configuration interaction (MBE-FCI) method. First, we outline how to automatize the selection of reference active spaces, whereby the inherent bias introduced through a manual identification is reduced, also within the context of traditional complete active space methods. Second, we allow for the use of compact orbital clusters as expansion objects, which works to circumvent the unfavorable scaling with the number of orbitals included in the space complementary to the reference orbitals. Finally, we present a new algorithm for ensuring that many-body expansions can be efficiently terminated while conservatively accounting for resulting errors. These developments are all tested on a variety of molecular systems and different orbital representations to illustrate the abilities of our algorithm to produce correlation energies within predetermined error bounds, significantly broadening the overall applicability of the MBE-FCI method.

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Publication Details

Journal
The Journal of Physical Chemistry A
Published
2024-08-05
DOI
https://doi.org/10.1021/acs.jpca.4c04056
Citations
5
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.59

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article

Error Control and Automatic Detection of Reference Active Spaces in Many-Body Expanded Full Configuration Interaction

Jürgen Gauß, Janus J. Eriksen, Jonas Greiner
5 citations
The Journal of Physical Chemistry A
Machine Learning in Materials Science
0.59
article

Error Control and Automatic Detection of Reference Active Spaces in Many-Body Expanded Full Configuration Interaction

Jürgen Gauß, Janus J. Eriksen, Jonas Greiner
article en
5 citations

Abstract

We present a wide-reaching revamp of the generalized many-body expanded full configuration interaction (MBE-FCI) method. First, we outline how to automatize the selection of reference active spaces, whereby the inherent bias introduced through a manual identification is reduced, also within the context of traditional complete active space methods. Second, we allow for the use of compact orbital clusters as expansion objects, which works to circumvent the unfavorable scaling with the number of orbitals included in the space complementary to the reference orbitals. Finally, we present a new algorithm for ensuring that many-body expansions can be efficiently terminated while conservatively accounting for resulting errors. These developments are all tested on a variety of molecular systems and different orbital representations to illustrate the abilities of our algorithm to produce correlation energies within predetermined error bounds, significantly broadening the overall applicability of the MBE-FCI method.

The Journal of Physical Chemistry AVol. 128(32)
Johannes Gutenberg University Mainz (DE), Technical University of Denmark (DK)
Villum Fonden, Danmarks Frie Forskningsfond
Openalex Percentile: Top 34%
Machine Learning in Materials Science
0.59
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