PyThinFilm: Automated Molecular Dynamics Simulation Protocols for the Generation of Thin Film Morphologies-Reference-Cited by-同舟云学术

PyThinFilm: Automated Molecular Dynamics Simulation Protocols for the Generation of Thin Film Morphologies

Published:2022-12-21 Issue:1 Volume:63 Page:2-8
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Stroet Martin¹²^ORCID,Sanderson Stephen³⁴^ORCID,Sanzogni Audrey V.¹²,Nada Sharif²,Lee Thomas¹²^ORCID,Caron Bertrand²,Mark Alan E.²^ORCID,Burn Paul L.¹^ORCID

Affiliation:

1. Centre for Organic Photonics & Electronics, The University of Queensland, St Lucia Campus, Brisbane, Queensland4072, Australia

2. Molecular Dynamics Group, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia Campus, Brisbane, Queensland4072, Australia

3. The Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia Campus, Brisbane, Queensland4072, Australia

4. College of Science and Engineering, James Cook University, Townsville, Queensland4811, Australia

Funder

Australian Research Council

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.2c01334

Reference45 articles.

1. Transition from island to layer growth of thin films: A Monte Carlo simulation

2. Invited Paper Thin Film Morphology: Molecular Dynamics Studies

3. A real time Monte Carlo simulation of thin film nucleation in localized‐laser chemical vapor deposition

4. Modeling the growth of semiconductor epitaxial films via nanosecond time scale molecular dynamics simulations

5. Revealing the Interplay between Charge Transport, Luminescence Efficiency, and Morphology in Organic Light‐Emitting Diode Blends

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