Machine learnings for CVD graphene analysis: From measurement to simulation of SEM images
Volume: 101, Pages: 430 - 444
Published: Sep 1, 2021
Abstract
• Observation of graphene growth changes with experimental variable manipulation in the CVD system. • Automatic measurement of graphene size and aspect ratio from SEM images using object detection algorithm. • Implementation of CVD simulation to predict in the form of SEM images. • Predicting the CVD experimental condition of graphene in the desired form through simulations. In this study, we introduce an approach that applies machine learning...
Paper Details
Title
Machine learnings for CVD graphene analysis: From measurement to simulation of SEM images
Published Date
Sep 1, 2021
Volume
101
Pages
430 - 444
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History