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Enzo Monino1, Daria Drwal2, Pavel Beran1,3

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Improved density matrix renormalization group in density functional theory (DMRG-in-DFT) accurately describes strongly correlated molecules by refining how the active part interacts with its environment, enhancing chemical property predictions.

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Area of Science:

  • Quantum chemistry
  • Computational materials science
  • Electronic structure theory

Background:

  • Density functional theory (DFT) is widely used for chemical system analysis.
  • Wave function in DFT (WF-in-DFT) embedding enhances DFT accuracy for complex systems.
  • Density matrix renormalization group (DMRG) is effective for strongly correlated molecular fragments.

Purpose of the Study:

  • To improve the accuracy of the DMRG-in-DFT method.
  • To address limitations in describing the coupling between active components and their environment.
  • To enhance the prediction of energetics and properties in strongly correlated chemical systems.

Main Methods:

  • Combining exact exchange to minimize nonadditive exchange errors.
  • Implementing a multireference adiabatic connection (AC) scheme to recover nonadditive correlation.
  • Applying the improved DMRG-in-DFT embedding to strongly correlated systems.

Main Results:

  • The accuracy of DMRG-in-DFT was primarily limited by approximate nonadditive exchange-correlation functionals.
  • The refined method successfully reduced nonadditive exchange and correlation errors.
  • Accurate predictions were achieved for H20 chain dissociation and C≡N bond cleavage.

Conclusions:

  • The improved DMRG-in-DFT approach offers enhanced accuracy for strongly correlated systems.
  • Refining the treatment of environmental coupling is crucial for embedding methods.
  • This work provides a more reliable computational tool for complex chemical problems.