Tags: chemical vapor deposition (CVD)

Description

Chemical vapor deposition is a vacuum deposition method used to produce high quality, high-performance, solid materials. The process is often used in the semiconductor industry to produce thin films.

For more information see Wikipedia

All Categories (1-20 of 37)

  1. 1D Moving Fin Model

    19 Jul 2016 | | Contributor(s):: Yudong Chen, Majed Abdullah Alrefae, Timothy S Fisher

    Simulate 1-D moving fin model for CVD roll-to-roll plasma system

  2. Arpit Jaiswal

    I am a grad student at University at Buffalo. I did my undergrad studies from RTMNU India. I am currently working on Graphene plasmonics.

    https://nanohub.org/members/208950

  3. Carolina Marques

    https://nanohub.org/members/113848

  4. Chemical Vapor Deposition

    28 May 2019 | | Contributor(s):: Adam Powell

    Calculate boundary layer sizes and deposition rate profiles along substrates on the bottom of a box-type chemical vapor deposition chamber.

  5. Chemical Vapor Deposition 2 Modes, 1D, 2D

    07 Jan 2022 | | Contributor(s):: Terry Kuzma, NACK Network

    The foundations of Chemical Vapor Deposition (CVD) will be reviewed, with a focus on Low Pressure CVD (LPCVD), typical deposition system design, and the two modes of deposition.

  6. Chemical Vapor Deposition Reactor Design

    28 May 2019 | | Contributor(s):: Adam Powell

    Sketch the streamlines in a tube CVD reactor and propose a design change which would lead to more uniform deposition.

  7. Cold Atmospheric Plasma Chemical Vapor Deposition of Silica

    18 Dec 2023 | | Contributor(s):: Samuel Josiah Hyde, Rahim Rahimi, Venkat Kasi

    CVD has become a significant process particularly for its use in electronics.  We use cold atmospheric plasma to deposit silica in a much more scalable manner.  Silica is deposited using CVD for applications in many microelectronic devices, but our process has the potential to greatly...

  8. FDNS21: Conversion of Large-area AB-stacked Bilayer Graphene to F-diamane

    27 Apr 2021 | | Contributor(s):: Rod Ruoff

  9. FDNS21: Conversion of Metal Oxide Films to 2D Metal Chalcogenide Films

    27 Apr 2021 | | Contributor(s):: Judy Cha

  10. FDNS21: Epitaxial Growth of Transition Metal Dichalcogenides – The Path to Wafer-scale Single Crystal Monolayers

    20 May 2021 | | Contributor(s):: Joan Redwing

  11. FDNS21: Machine Learning Guided Synthesis of 2D Materials

    27 Apr 2021 | | Contributor(s):: Zheng Liu

  12. Gr-ResQ

    27 Aug 2019 | | Contributor(s):: Joshua A Schiller, Kaihao Zhang, Kevin James Cruse, Darren K Adams, Elif Ertekin, Sameh H Tawfick, Mitisha Surana, Aagam Rajeev Shah, Ricardo Toro

    Query submit and analyse graphene sythesis data.

  13. Gr-ResQ (Graphene Rescue) Tool Tutorial & Training

    03 Jun 2021 | | Contributor(s):: Mitisha Surana

    This hands-on tutorial will introduce users to the Gr-ResQ (‘graphene rescue’) platform. Gr-ResQ is (i) an open, crowd-sourced database of recipes and characterization of graphene synthesized by chemical vapor deposition, (ii) a set of analysis tools that enable users to analyze the...

  14. Gr-ResQ Tutorial I: Introduction and Framework

    03 Jun 2021 | | Contributor(s):: Mitisha Surana

  15. Gr-ResQ Tutorial II: Tool Demonstration and Training

    04 Jun 2021 | | Contributor(s):: Mitisha Surana

  16. Gr-ResQ Tutorial III: Machine Learning and Beyound

    03 Jun 2021 | | Contributor(s):: Mitisha Surana

  17. Ian Harreschou

    https://nanohub.org/members/377348

  18. Image Segmentation for Graphene Images

    29 Apr 2020 | | Contributor(s):: Joshua A Schiller

    This lecture outlines the need for a fast, automated means for identifying regions of images corresponding to graphene. Simple methods, like color masking and template matching, are discussed initially. Unsupervised clustering methods are then introduced as potential improvements...

  19. Javier Merón Pino

    https://nanohub.org/members/131817

  20. Kaustubh Bawdekar

    https://nanohub.org/members/220210