Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Multicomponent dynamical nucleation theory and sensitivity analysis.

Shawn M Kathmann¹, Gregory K Schenter, Bruce C Garrett

¹Chemical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA.

The Journal of Chemical Physics

|July 23, 2004

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Lattice-scale variations in viscosity are correlated with solution structure at mineral-water interfaces.

Journal of colloid and interface science·2026

Same author

Charge Density Mismatch is a Key Characteristic of Highly Concentrated Electrolyte Solutions and Highly Water-Soluble Salts.

Chemphyschem : a European journal of chemical physics and physical chemistry·2026

Same author

Libration of hydroxyl groups in layered aluminum (oxy)hydroxides and other material analogs: insights from inelastic neutron scattering and theory.

Physical chemistry chemical physics : PCCP·2026

Same author

Characterization of Gas-Phase Native(-like) Proteins Using Structures for Lossless Ion Manipulations.

Analytical chemistry·2025

Same author

Confinement-controlled selective CO2 insertion into a dicopper dihydride core: A multiscale mechanistic study.

The Journal of chemical physics·2025

Same author

Reorganization of Water at Aqueous Aluminum Chloride (AlCl<sub>3</sub>) Interfaces: Vibrational Sum Frequency Generation and Molecular Dynamics Simulations.

The journal of physical chemistry. A·2025

Same journal

Anharmonic phonons via quantum thermal bath simulations.

The Journal of chemical physics·2026

Same journal

Quantum simulation of alignment dependent differential cross sections in co-propagating molecular beams at cold collision energies.

The Journal of chemical physics·2026

Same journal

Non-additive ion effects on the coil-globule equilibrium of a generic polymer in aqueous salt solutions.

The Journal of chemical physics·2026

Same journal

Insights into the unexpected small reduction of the temperature of maximum density of water by lithium chloride addition.

The Journal of chemical physics·2026

Same journal

Optical frequency comb double-resonance spectroscopy of the 9030-9175 cm-1 states of ethylene.

The Journal of chemical physics·2026

Same journal

Time reversal breaking of colloidal particles in cells.

The Journal of chemical physics·2026

See all related articles

Multicomponent nucleation, the process of vapor transforming into liquid, is driven by condensation and evaporation. Dynamical nucleation theory explains cluster formation, revealing a free energy barrier despite no intrinsic interaction barrier.

Area of Science:

Physical Chemistry
Chemical Engineering
Thermodynamics

Background:

Vapor to liquid nucleation is a complex dynamical process.
Monomer association and dissociation reactions govern cluster formation.
A free energy barrier impedes cluster formation, despite no intrinsic interaction barrier.

Purpose of the Study:

To present and discuss rate constants for multistep kinetics of multicomponent nucleation.
To perform sensitivity analysis on these rate constants.
To investigate the potential influence of contaminants on the nucleation process.

Main Methods:

Utilizing dynamical nucleation theory as a theoretical framework.
Calculating equilibrium evaporation rate constants.

Related Experiment Videos

Determining condensation rate constants via detailed balance.

Solving kinetic equations to obtain the nucleation rate.

Main Results:

Quantified rate constants governing the multistep kinetics of multicomponent nucleation.
Performed sensitivity analysis to understand key kinetic parameters.
Evaluated the impact of contaminants on nucleation dynamics.

Conclusions:

Dynamical nucleation theory provides a robust framework for understanding multicomponent nucleation.
Rate constants and their sensitivities are crucial for predicting nucleation rates.
Contaminants can significantly influence the nucleation process, highlighting the need for further investigation.