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Related Experiment Video

Updated: May 27, 2026

Experimental Approaches for the Synthesis of Low-Valent Metal-Organic Frameworks from Multitopic Phosphine Linkers
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Published on: May 12, 2023

Potential-functional embedding theory for molecules and materials.

Chen Huang1, Emily A Carter

  • 1Department of Physics, Princeton University, Princeton, New Jersey 08544, USA.

The Journal of Chemical Physics
|November 25, 2011
PubMed
Summary
This summary is machine-generated.

A new potential-functional embedding theory is introduced, complementing density-functional embedding theory. This framework simplifies solving for embedding potentials and enables flexible accuracy across subsystems for various chemical systems.

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Area of Science:

  • Quantum Chemistry
  • Computational Materials Science
  • Theoretical Chemistry

Background:

  • Density-functional embedding theory has been established for two decades.
  • A recent density-based embedding theory was proposed.
  • A dual problem to density-functional embedding theory was identified.

Purpose of the Study:

  • Introduce a potential-functional embedding theory.
  • Complete the dual problem in embedding theory.
  • Provide a flexible and accurate computational framework for electronic structure calculations.

Main Methods:

  • Reformulate density-based embedding theory using functionals of the embedding potential.
  • Directly minimize the total energy functional to solve for the embedding potential.
  • Derive gradients and forces for structural optimization and nuclear dynamics.
  • Extend the theory to spin-polarized systems.

Main Results:

  • The potential-functional formalism simplifies solving for the unique embedding potential.
  • The theory accommodates charge transfer and fractional electrons.
  • Different energy functionals can be used for different subsystems.
  • Numerical examples demonstrate accuracy for molecules, chains, bulk materials, and surface adsorption.

Conclusions:

  • The potential-functional embedding theory offers a robust and versatile approach.
  • It enables efficient and accurate calculations for complex chemical systems.
  • The framework supports structural optimization and dynamic simulations.