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Arrhenius Plots02:34

Arrhenius Plots

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The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used...
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  3. Physical Sciences
  4. Condensed Matter Physics
  5. Surface Properties Of Condensed Matter
  6. Exploration Of Free Energy Surface Of The Au10 Nanocluster At Finite Temperature

Exploration of Free Energy Surface of the Au10 Nanocluster at Finite Temperature

Francisco Eduardo Rojas-González1, César Castillo-Quevedo2, Peter Ludwig Rodríguez-Kessler3

  • 1Departamento de Física, Edificio 3F, Universidad de Sonora, Hermosillo 83000, Sonora, Mexico.

Molecules (Basel, Switzerland)
|July 27, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

Understanding gold nanocluster properties requires finite temperature analysis. This study reveals the dominant 2D structure for Au10 clusters and validates experimental data, offering insights into their bonding.

Area of Science:

  • Computational Chemistry and Materials Science
  • Nanotechnology and Cluster Physics

Background:

  • Functional materials operate at finite temperatures, yet energy computations often neglect this, limiting property exploration.
  • The structural and electronic properties of gold nanoclusters (Au10) are crucial for their applications but are not fully understood at realistic temperatures.

Purpose of the Study:

  • To investigate the potential and free energy surface of neutral Au10 nanoclusters at finite temperatures.
  • To determine the dominant low-energy structures and analyze their thermal population and vibrational spectra.
  • To elucidate the chemical bonding characteristics within low-energy Au10 structures.

Main Methods:

  • Employed a genetic algorithm combined with density functional theory (DFT) and nanothermodynamics for finite temperature calculations.
Keywords:
Au clusterBoltzmann factorsDLPNO-CCSD(T)Gibbs free energy

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  • Included relativistic effects (ZORA) and dispersion corrections (D3BJ).
  • Performed chemical bonding analysis using Quantum Theory of Atoms in Molecules (QTAIM) and Adaptive Natural Density Partitioning (AdNDP).
  • Main Results:

    • The lowest energy structure predicted by DFT at zero temperature differs from that calculated at the higher accuracy DLPNO-CCSD(T) level.
    • A 2D elongated hexagon configuration is the dominant structure for Au10 clusters between 50-800 K.
    • Computed infrared (IR) Boltzmann spectra at 100 K show good agreement with experimental data.
    • Chemical bonding analysis indicates that Au-Au bonds in the dominant structure primarily involve 6s orbitals, with negligible participation from d orbitals.

    Conclusions:

    • Finite temperature effects significantly influence the structural preferences of Au10 nanoclusters, favoring 2D configurations.
    • The study validates theoretical predictions with experimental IR spectra, enhancing confidence in the computational methodology.
    • The bonding mechanism in Au10 clusters is predominantly driven by s-orbital electrons.
    IR spectra
    QTAIM
    adaptive natural density partitioning
    chemical bonding analysis
    density functional theory
    effects relativistic
    enthalpy
    entropy
    genetic algorithm
    global minimum
    nanothermodynamics
    quantum statistical mechanics
    temperature
    thermochemistry
    zero-order regular approximation