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Kinetic Energy for a Rigid Body01:13

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Imagine a solid object involved in a general planar movement, with its center of mass pinpointed at a spot labeled G. The object's kinetic energy relative to an arbitrary point A can be quantified for each of its particles - the ith particle in this case. This measurement is achieved through the employment of the relative velocity definition. The position vector, known as rA, extends from point A to the mass element i.
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Kinetic-energy-based error quantification in Kohn-Sham density functional theory.

Mohammad Mostafanejad1, Jessica Haney, A Eugene DePrince

  • 1Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL 32306-4390, USA. adeprince@fsu.edu.

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Summary
This summary is machine-generated.

We developed a new metric to evaluate electron density quality in Kohn-Sham (KS) density functional theory (DFT) calculations. This method quantifies density-driven errors, offering a complementary approach to existing error analyses for improved accuracy.

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Area of Science:

  • Quantum Chemistry
  • Computational Physics
  • Materials Science

Background:

  • Kohn-Sham (KS) density functional theory (DFT) is a cornerstone of electronic structure calculations.
  • Assessing the accuracy of electron densities in KS-DFT is crucial for reliable predictions.
  • Existing error analyses often focus on functional approximations, neglecting density-driven errors.

Purpose of the Study:

  • To introduce a novel, basis-independent metric for evaluating electron density quality in KS-DFT.
  • To quantify density-driven errors in KS-DFT solutions.
  • To complement existing error assessment methods in electronic structure theory.

Main Methods:

  • Utilizing Levy's constrained search (CS) formalism with an exact reference density.
  • Calculating the exact non-interacting kinetic energy via CS.
  • Comparing the exact kinetic energy with that from approximate KS-DFT calculations.

Main Results:

  • A basis-independent metric for electron density quality in KS-DFT was successfully developed.
  • The metric quantifies density-driven errors, providing insights into the KS solution's accuracy.
  • The CS formalism naturally yields an estimate of the exact kinetic correlation energy.

Conclusions:

  • The proposed metric offers a valuable tool for assessing electron density accuracy in KS-DFT.
  • This approach provides a complementary perspective on error sources in DFT calculations.
  • The method enhances the reliability and interpretability of KS-DFT results.