Tags: graphene

Description

Graphene is a one-atom-thick planar sheet of sp2-bonded carbon atoms that are densely packed in a honeycomb crystal lattice. The term Graphene was coined as a combination of graphite and the suffix -ene by Hanns-Peter Boehm, who described single-layer carbon foils in 1962. Graphene is most easily visualized as an atomic-scale chicken wire made of carbon atoms and their bonds. The crystalline or "flake" form of graphite consists of many graphene sheets stacked together.

Learn more about quantum dots from the many resources on this site, listed below. More information on Graphene can be found here.

All Categories (1-20 of 202)

  1. Fun with Carbon Nanostructures using Crystal Viewer 2.3.4

    02 Nov 2021 | | Contributor(s):: Tanya Faltens

    Quick tutorial/demonstration on how to create carbon nanostructures (buckyballs, graphene sheets, and carbon nanotubes) using Crystal Viewer 2.3.4.

  2. Fusing Light With Heat: Polaritons for Nanoscale Thermal Transport & Sensing

    07 Oct 2021 | | Contributor(s):: Thomas Beechem

    Light exhibits a wave nature.  Phonons do too.  Within the infrared portion of the spectrum, these differing “waves” can interact to form hybrid energy carriers called polaritons.  Polaritons, in turn, provide fundamental advantages for optical functionality and...

  3. IWCN 2021: Recursive Open Boundary and Interfaces Method for Material Property Predictions

    14 Jul 2021 | | Contributor(s):: James Charles, Sabre Kais, Tillmann Christoph Kubis

    In this presentation, we show that assuming periodicity elevates a small perturbation of a periodic cell into a strong impact on the material property prediction. Periodic boundary conditions can be applied on truly periodic systems only. More general systems should apply an open boundary...

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

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

  5. 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...

  6. Gr-ResQ Tutorial I: Introduction and Framework

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

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

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

  8. FDNS21: Van der Waals Epitaxy of Atomically Thin Metal Oxide

    20 May 2021 | | Contributor(s):: Lili Cai

  9. FDNS21: Artificial van der Waals Crystals

    27 Apr 2021 | | Contributor(s):: Cheol-Joo Kim

  10. FDNS21: Predictive Models in Materials Making, 2D, 3D, 2.1D

    27 Apr 2021 | | Contributor(s):: Boris I Yakobson

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

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

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

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

  13. Mar 30 2021

    MNT-EC Spring Development Workshop: CVD Synthesis and Image Analysis

    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...

    https://nanohub.org/events/details/1966

  14. Mar 23 2021

    MNT-EC Spring Development Workshop: CVD Synthesis and Image Analysis

    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...

    https://nanohub.org/events/details/1965

  15. U-Net Convolutional Neural Networks for Image Segmentation: Application to Scanning Electron Microscopy Images of Graphene

    01 Feb 2021 | | Contributor(s):: Aagam Rajeev Shah

    This tutorial introduces you to U-Net, a popular convolutional neural network commonly developed for image segmentation in biomedicine. Using an assembled data set, you will learn how to create and train a U-Net neural network, and apply it to segment scanning electron microscopy images of...

  16. Unsupervised Clustering Methods for Image Segmentation: Application to Scanning Electron Microscopy Images of Graphene

    27 Jan 2021 | | Contributor(s):: Aagam Rajeev Shah

    This tutorial will introduce you to some basic image segmentation techniques driven by unsupervised machine learning techniques such as the Gaussian mixture model and k-means clustering. You will learn how to implement k-means clustering and template matching, and use these to segment a...

  17. SEM Image Segmentation Workshop

    12 Jan 2021 | | Contributor(s):: Aagam Rajeev Shah, Darren K Adams, Mitisha Surana, Ricardo Toro, Sameh H Tawfick, Elif Ertekin

    This tool introduces users to machine learning used to segment microscopy images

  18. "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    15 Nov 2020 | | Contributor(s):: Susan P Gentry, Rachel Altovar

    Expanding on the pre-existing resource on nanoHUB: “Turning Fruit Juice into Graphene Quantum Dots” this resource expands on the concepts in the experimental guide to give a comprehensive overview of materials pertaining to concepts and ideas within the...

  19. MODULE 3 - Structures: "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    15 Nov 2020 | | Contributor(s):: Susan P Gentry, Rachel Altovar

    In MODULE 3- Structures in the "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans, crystal structures and systems are investigated. This module relates back to graphene and how its structure relates back to its unique properties in comparison to other forms of...

  20. MODULE 1 - Graphene: "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans: Going Atomic

    13 Nov 2020 | | Contributor(s):: Susan P Gentry, Rachel Altovar

    The first module in "Turning Fruit Juice into Graphene Quantum Dots" Supplementary Lesson Plans, explores the material, graphene, how it was discovered, and the unique properties that it has. The activity paired with this lesson plan re-creates the famous "sticky-tape"...