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Updated: Aug 9, 2026

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles
Published on: June 25, 2018
Mean-field kinetic nucleation theory
1Twister Supersonic Gas Solutions, Einsteinlaan 10, 2289 CC, Rijswijk, The Netherlands. vitaly.kalikmanov@twisterbv.com
A new nucleation model accurately predicts experimental data for various fluids, including water and mercury. This advanced theory works for all cluster sizes, unlike classical models that fail for small critical clusters.
Area of Science:
- Physical Chemistry
- Thermodynamics
- Materials Science
Background:
- Classical nucleation theory often fails to accurately predict experimental results, especially when critical clusters are small.
- Existing models struggle with non-perturbative descriptions of cluster kinetics and thermodynamics.
Purpose of the Study:
- To propose a new semiphenomenological model for homogeneous vapor-liquid nucleation.
- To develop a theory valid for all cluster sizes, from monomers to macroscopic clusters.
- To improve the prediction accuracy of nucleation phenomena in various fluids.
Main Methods:
- The model integrates the kinetic approach to nucleation with a revised Fisher droplet model.
- It incorporates a mean-field argument for the cluster configuration integral.
- The theory accounts for both macroscopic and microscopic surface tensions, with the latter being temperature-dependent.
Main Results:
- The proposed theory is nonperturbative with respect to cluster size, offering validity down to monomers.
- Microscopic surface tension exhibits universal behavior for Lennard-Jones fluids, derived from mean-field density functional calculations.
- Excellent agreement was achieved between the model's predictions and experimental nucleation data for argon, nitrogen, water, and mercury.
Conclusions:
- The new semiphenomenological model provides a more accurate description of homogeneous vapor-liquid nucleation compared to classical theories.
- The model's ability to handle small critical clusters and its validation across multiple substances highlight its robustness.
- This work advances the understanding of nucleation processes and offers a reliable tool for predicting experimental outcomes.
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