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Area of Science:

  • Quantum chemistry
  • Computational physics
  • Materials science

Background:

  • Møller-Plesset adiabatic connection (MPAC) theory offers a robust method for approximating wave function-based correlation energy.
  • Accurate modeling of noncovalent interactions (NCIs) is crucial for understanding molecular behavior.

Purpose of the Study:

  • To evaluate the performance of approximate MPAC functionals for describing NCIs.
  • To introduce and validate a new MPAC functional (MPAC25) for improved NCI modeling.

Main Methods:

  • Development and application of approximate Møller-Plesset adiabatic connection (MPAC) functionals.
  • Benchmarking against MP2 and dispersion-corrected density functional theory (DFT+DISP) methods.
  • Testing on diverse systems including charged and charge-transfer complexes, and abnormal NCIs.

Main Results:

  • Approximate MPAC functionals consistently outperform MP2 and DFT+DISP for various NCIs.
  • MPAC functionals achieve near-chemical accuracy, even for challenging abnormal NCIs where DFT+DISP fails.
  • The new MPAC25 functional demonstrates equal effectiveness for neutral and charged NCIs on DES15K benchmarks.

Conclusions:

  • MPAC functionals provide a powerful and accurate approach for describing a wide range of NCIs.
  • MPAC methods offer a significant advancement for predictive simulations of molecular interactions.
  • Further development of MPAC theory holds promise for complex molecular systems.