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August 13, 2026Journal of Chemical Theory and Computation

Stochastic Resolutionof Identity for CorrelationEnergy Prediction via Doubles Connected Moments Expansion

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Implication

Randomized trial reveals effective correlation energy prediction method for large molecular systems, suggesting efficiency in computational chemistry.

Key Points

  • The aim is to enhance the efficiency of correlation energy computation using the stochastic resolution-of-identity in the DCM framework.
  • Introduced a stochastic resolution-of-identity (sRI) technique for decomposing four-index intermediates.
  • Performed benchmark calculations on various molecules to assess performance against conventional DCM and CCSD.
  • Achieved an experimental scaling of O(N4.1) for hydrogen dimer chains.
  • sRI-DCM shows an overall scaling of O(N4.1), improving efficiency for large systems.
  • Outperforms traditional CCSD in accuracy during benchmark tests.
  • Maintains similar accuracy to DCM while reducing computational steps significantly.

Cite This Study

A 2026 study studied this question.

synapsesocial.com/papers/6a7d75e62b0e0cff3f63ed19https://doi.org/10.1021/acs.jctc.6c00922
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  5. 5Stochastic resolution of identity to CC2 for large systems: Excited-state gradients and derivative couplings2025 · 1 citations