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The ab-initio density matrix renormalization group (DMRG) offers a powerful approach for quantum chemistry problems. This study assesses DMRG

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Condensed Matter Physics

Background:

  • The ab-initio density matrix renormalization group (DMRG) is a versatile computational tool.
  • Its application in quantum chemistry is of significant interest.
  • Understanding its capabilities and limitations is crucial for practical use.

Purpose of the Study:

  • To evaluate the density matrix renormalization group (DMRG) from a quantum chemistry user's perspective.
  • To identify suitable problems and system sizes for DMRG calculations.
  • To assess achievable accuracies and computational costs for various molecules.

Main Methods:

  • Application of ab-initio density matrix renormalization group (DMRG).
  • Examination of a diverse benchmark set of molecules.
  • Analysis of π-electron systems, main-group and transition metal dimers, and organometallic compounds (Mn-oxo-salen, Fe-porphine).

Main Results:

  • The study provides insights into the types of quantum chemistry problems amenable to DMRG.
  • It addresses the scalability of DMRG for treating larger systems at practical costs.
  • Accuracies and computational difficulties associated with different molecular systems are discussed.

Conclusions:

  • The density matrix renormalization group (DMRG) is a practical tool for specific quantum chemistry challenges.
  • The findings guide users in selecting appropriate problems and interpreting computational results.
  • This work demonstrates the utility of DMRG in computational chemistry research.