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Published on: November 18, 2020
Understanding the Many-Body Basis Set Superposition Error: Beyond Boys and Bernardi
Ryan M Richard1, Brandon W Bakr1, C David Sherrill1
1Center for Computational Molecular Science and Technology, School of Chemistry and Biochemistry, and School of Computational Science and Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332-0400 , United States.
Basis set superposition error (BSSE) can hinder fragment-based methods. This study presents a general BSSE framework, resolving prior interpretations and enabling accurate water cluster energetics with limited many-body computations.
Area of Science:
- Computational Chemistry
- Quantum Chemistry
- Theoretical Chemistry
Background:
- Fragment-based methods offer linear scaling for accurate energetics, relying on localized many-body interactions.
- Basis set superposition error (BSSE) previously undermined this premise for water clusters, necessitating computationally expensive supersystem basis sets.
- Existing frameworks for BSSE in many-body expansions have differing interpretations of the problem and its solution.
Purpose of the Study:
- To propose a more general framework for addressing basis set superposition error (BSSE) in many-body expansions.
- To reconcile differing interpretations of BSSE frameworks and demonstrate their compatibility.
- To apply the generalized BSSE framework to water clusters and achieve high accuracy benchmarks.
Main Methods:
- Development of a generalized theoretical framework for basis set superposition error (BSSE).
- Analysis of existing BSSE frameworks by Bettens and Mayer/Bakó, identifying them as different normalization conditions.
- Application of the new framework to small water clusters, performing correlated three-body and Hartree-Fock four-body computations.
Main Results:
- The proposed general BSSE framework unifies and clarifies previous interpretations.
- Application to water clusters yields results within ±0.5 kcal mol⁻¹ of coupled cluster complete basis set limits.
- High accuracy is achieved using a correlated three-body computation (quadruple-ζ basis set) and a four-body Hartree-Fock computation (triple-ζ basis set).
Conclusions:
- The generalized BSSE framework provides a robust method for accurate fragment-based calculations.
- It is possible to overcome BSSE limitations in many-body expansions without sacrificing computational efficiency.
- This approach enables high-accuracy energetic predictions for molecular systems like water clusters.
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