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Multi-site reaction dynamics through multi-fragment density matrix embedding.

Chenghan Li1, Junjie Yang1, Xing Zhang1

  • 1Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91101, USA.

The Journal of Chemical Physics
|April 8, 2023
PubMed
Summary
This summary is machine-generated.

We developed a new computational method, gradient theory of multi-fragment density matrix embedding theory, to efficiently study complex chemical reactions. This approach reduces computational cost for modeling multi-site reactions at the correlated electron level.

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Area of Science:

  • Computational Chemistry
  • Theoretical Chemistry
  • Quantum Chemistry

Background:

  • Correlated electronic structure methods face challenges in describing complex chemical reactions due to high computational costs.
  • Modeling multi-species and multi-site reactions requires efficient theoretical frameworks.

Purpose of the Study:

  • To introduce and validate the gradient theory of multi-fragment density matrix embedding theory.
  • To provide a computationally minimal framework for studying complex chemical reactions at the correlated electron level.

Main Methods:

  • Derivation and implementation of the gradient theory of multi-fragment density matrix embedding theory.
  • Validation on model systems and chemical reactions using density matrix embedding.
  • Application to molecular dynamics simulations of proton transport in water clusters.

Main Results:

  • The gradient theory offers a computationally efficient approach for correlated electronic structure calculations.
  • Successful application to model systems and proton transport in water clusters demonstrates its utility.
  • The method provides a practical framework for disordered chemical reactions.

Conclusions:

  • The gradient theory of multi-fragment density matrix embedding theory is a promising computational tool.
  • This method significantly reduces the computational burden for complex reaction dynamics.
  • It enables accurate modeling of multi-site reaction dynamics previously inaccessible.