Poster Title

Studying Crystal Growth Kinetics via Monte Carlo Simulation

Co-Author(s)

Cyrus Schaaf

Research Mentor(s)

David Patrick

Affiliated Department

Chemistry

Sort Order

63

Start Date

17-5-2017 12:00 PM

End Date

17-5-2017 3:00 PM

Document Type

Event

Abstract

Polycrystalline thin films of the organic semiconductor tetracene prepared using an approach called organic vapor-liquid-solid (OVLS) deposition have been studied via kinetic Monte Carlo (KMC) simulation. Understanding and controlling crystallization in such systems is important for applications such as solar cells, flexible displays, and lighting applications. We use KMC simulations to investigate the main kinetic parameters affecting the crystal growth. These simulations are compared to experimental data, and parameter values such as the relative monomer sticking probabilities on different crystal faces are determined. This poster describes the simulation algorithm develop for these studies, as well as initial results.

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this documentation for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.

Language

English

Format

application/pdf

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May 17th, 12:00 PM May 17th, 3:00 PM

Studying Crystal Growth Kinetics via Monte Carlo Simulation

Chemistry

Polycrystalline thin films of the organic semiconductor tetracene prepared using an approach called organic vapor-liquid-solid (OVLS) deposition have been studied via kinetic Monte Carlo (KMC) simulation. Understanding and controlling crystallization in such systems is important for applications such as solar cells, flexible displays, and lighting applications. We use KMC simulations to investigate the main kinetic parameters affecting the crystal growth. These simulations are compared to experimental data, and parameter values such as the relative monomer sticking probabilities on different crystal faces are determined. This poster describes the simulation algorithm develop for these studies, as well as initial results.