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Published on: May 9, 2021
A simple model of burst nucleation
Alexandr Baronov1, Kevin Bufkin, Dan W Shaw
1Advanced Materials Science and Engineering Center, Western Washington University, Bellingham, WA 98225, USA. brad.johnson@wwu.edu david.patrick@wwu.edu.
This study presents a quantitative model for burst nucleation (BN), a crystallization process involving a delayed nucleation burst. The model accurately predicts experimental crystallization in tetracene films.
Area of Science:
- Physical Chemistry
- Materials Science
- Chemical Engineering
Background:
- Burst nucleation (BN) is a kinetic pathway in self-assembly and crystallization characterized by a distinct induction period followed by rapid nucleation.
- Understanding BN is crucial for controlling material properties in various applications, including thin-film deposition.
Purpose of the Study:
- To develop a comprehensive quantitative treatment for burst nucleation kinetics.
- To incorporate a concentration-dependent critical nucleus size and subcritical cluster population density into a nucleation model.
- To validate the model against experimental data and demonstrate its generalizability.
Main Methods:
- A hybrid mean-field rate equation model was developed, integrating classical nucleation theory for saturated solvents.
- The model self-consistently determines the critical nucleus size and subcritical cluster population density.
- The model was applied to experimental data from tetracene film crystallization via organic vapor-liquid-solid deposition.
Main Results:
- The model provides a quantitative description of burst nucleation kinetics.
- Good agreement was observed between model predictions and experimental crystallization in tetracene films.
- The model utilizes a single, physically meaningful adjustable parameter.
Conclusions:
- The developed model offers a robust framework for understanding and predicting burst nucleation phenomena.
- The model's success with tetracene crystallization suggests its applicability to other self-organizing systems exhibiting BN kinetics.
- This work advances the quantitative treatment of nucleation processes in materials science and physical chemistry.
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