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Cluster-in-Molecule Approach with Explicitly Correlated Methods for Large Molecules.

Yuqi Wang1, Yang Guo2, Frank Neese3

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New computational methods combine explicitly correlated F12 techniques with the cluster-in-molecule (CIM) framework for efficient large molecule calculations. This approach accurately models molecular stability and binding energies with reduced basis set errors.

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Area of Science:

  • Computational chemistry
  • Quantum chemistry
  • Molecular modeling

Background:

  • Accurate molecular modeling is crucial for understanding chemical properties.
  • Traditional methods struggle with large molecules due to computational cost.
  • Explicitly correlated F12 methods reduce basis set errors but are computationally expensive.

Purpose of the Study:

  • To develop efficient computational methods for large molecules.
  • To integrate explicitly correlated F12 techniques within the cluster-in-molecule (CIM) framework.
  • To enable accurate calculations of molecular stability and binding energies for systems up to 145 atoms.

Main Methods:

  • Development of explicitly correlated local correlation methods (MP2, CCSD, DLPNO-CCSD, DLPNO-CCSD(T)) under the CIM framework.
  • Decomposition of F12 correction into local molecular orbital contributions.
  • Independent evaluation of F12 contributions within localized orbital clusters.
  • Application to alkane C30H62, polyglycine Ace(Gly)10NH2, and host-guest complexes.

Main Results:

  • Enabled F12 calculations for molecules up to 145 atoms on a single node.
  • Investigated relative stability of alkane C30H62 conformers.
  • Analyzed secondary structures of polyglycine Ace(Gly)10NH2.
  • Calculated binding energies for host-guest complexes with high accuracy.

Conclusions:

  • The combination of CIM and F12 methods provides a powerful approach for large molecule simulations.
  • This approach significantly reduces basis set errors in calculations.
  • It offers a promising avenue for accurate and efficient molecular modeling of complex systems.