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Gold Nanoparticle Synthesis
13:42

Gold Nanoparticle Synthesis

Published on: July 10, 2021

Exchange-correlation generalized gradient approximation for gold nanostructures.

E Fabiano1, Lucian A Constantin, F Della Sala

  • 1National Nanotechnology Laboratory (NNL), Istituto Nanoscienze-CNR, Via per Arnesano 16, I-73100 Lecce, Italy. eduardo.fabiano@nano.cnr.it

The Journal of Chemical Physics
|May 24, 2011
PubMed
Summary
This summary is machine-generated.

We evaluated exchange-correlation functionals for gold nanostructures. The new PBEint functional accurately describes structural and electronic properties, especially for larger gold clusters.

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Area of Science:

  • Computational materials science
  • Quantum chemistry
  • Solid-state physics

Background:

  • Accurate theoretical description of materials is crucial for nanotechnology.
  • Generalized gradient approximation (GGA) functionals like Perdew-Burke-Ernzerhof (PBE) are widely used.
  • Limitations of existing functionals necessitate development of improved models.

Purpose of the Study:

  • To compare the performance of PBE, PBEsol, and PBEint functionals.
  • To assess their accuracy for structural and electronic properties of gold nanostructures.
  • To identify the most suitable functional for modeling gold clusters.

Main Methods:

  • Density Functional Theory (DFT) calculations.
  • Evaluation of various exchange-correlation functionals (PBE, PBEsol, PBEint).
  • Analysis of atomization energies, structural parameters, and electronic properties.

Main Results:

  • PBEint demonstrates a balanced description of various properties.
  • PBEint accurately predicts structural and electronic characteristics of gold nanostructures.
  • PBEint shows superior performance for medium and large gold clusters compared to PBE and PBEsol.

Conclusions:

  • The PBEint functional offers improved accuracy for gold nanostructures.
  • PBEint is recommended for theoretical studies of medium to large gold clusters.
  • This work provides guidance for selecting appropriate functionals in nanoscience.