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Understanding the many-body expansion for large systems. II. Accuracy considerations
Ka Un Lao1, Kuan-Yu Liu1, Ryan M Richard1
1Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA.
We evaluated the accuracy of many-body expansions (MBE) for electronic structure calculations. A generalized many-body expansion (GMBE) with counterpoise correction (GMBCP) offers a highly accurate and stable method for large systems.
Area of Science:
- Computational Chemistry
- Electronic Structure Theory
- Quantum Chemistry
Background:
- Finite precision in electronic structure calculations can impact accuracy.
- Truncated many-body expansions (MBE) are used to approximate calculations for large systems.
- Assessing the accuracy of MBE methods is crucial for reliable results.
Purpose of the Study:
- To evaluate the accuracy of truncated many-body expansion (MBE) methods.
- To compare MBE accuracy against supersystem calculations and high-quality benchmarks.
- To introduce and assess a generalized many-body expansion (GMBE) with counterpoise correction (GMBCP).
Main Methods:
- Calculations performed on water clusters ((H2O)N=6-55) at the B3LYP/cc-pVDZ level.
- Evaluated standard MBE truncated at two-, three-, and four-body terms.
- Introduced and tested a generalized many-body expansion (GMBE(2)) and its counterpoise corrected version (GMBCP(2)).
Main Results:
- Standard two-body MBE yielded a mean absolute error (MAE) of ~1.0 kcal/mol/monomer.
- Three- and four-body MBE improved accuracy to 0.5 and 0.1 kcal/mol/monomer, respectively.
- GMBE(2) achieved an MAE of ~0.02 kcal/mol/monomer, outperforming standard MBE.
- GMBCP(2) provided good results without relying on error cancellation mechanisms.
Conclusions:
- GMBE(2) and GMBCP(2) offer accurate, stable, and tractable approaches for large system calculations.
- These methods reduce computational cost and mitigate issues like floating-point roundoff errors.
- The GMBE(2)+GMBCP(2) approach, combined with suitable electronic structure methods, is promising for complex systems.
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