Binary nucleation beyond capillarity approximation

Area of Science:

• Physical Chemistry
• Chemical Physics
• Materials Science

Background:

• Binary classical nucleation theory (BCNT) shows significant discrepancies with experimental data.
• These discrepancies stem from unaddressed adsorption effects and BCNT's limitations in handling small clusters.
• The phenomenological capillarity approximation in BCNT is inadequate for nanoscale phenomena.

Purpose of the Study:

• To develop a novel model that resolves the deficiencies of BCNT.
• To accurately incorporate adsorption effects and improve the treatment of small binary clusters.
• To enable the study of binary nucleation in complex systems, including those with critical nanosized clusters.

Main Methods:

• Incorporation of adsorption effects using the Gibbsian approximation.
• Statistical-mechanical treatment of binary clusters, coarse-graining the more volatile component.
• Application of single-component mean-field kinetic nucleation theory for cluster analysis.
• Development of a model capable of treating clusters of arbitrary size.

Main Results:

• The proposed model effectively addresses adsorption effects in binary nucleation.
• It provides an adequate treatment for clusters of all sizes, including nanoscale clusters.
• The model reconciles theoretical predictions with experimental observations in binary nucleation.

Conclusions:

• The developed model offers a significant advancement over BCNT for studying binary nucleation.
• It provides a pathway for investigating complex systems involving binary nucleation with critical nanosized clusters.
• This work enhances the understanding and predictive capability of nucleation phenomena in multicomponent systems.