Renishaw inVia Raman Microscope Helping Develop Large Defect-free Films of Graphene

A Renishaw inVia Raman microscope has been used in new research that addresses one of the major hindrances to the wider exploitation of graphene: the difficulty in growing large defect-free films.

Image: Raman map of the 2D graphene band width for a CVD graphene sample. This image illustrates the variation in the number of graphene layers over the sample region, with bright red regions consisting of thicker material than darker red regions.

An international team—led by Oxford University scientists Professor Nicole Grobert and Adrian Murdock— in collaboration with Renishaw plc and researchers from the Forschungszentrum Juelich (Germany) and University of Ioannina (Greece), used a Renishaw inVia Raman microscope to examine film thickness, strain and defects in graphene films.

Graphene is a single layer of carbon atoms and was the first two dimensional material to be discovered. It has very interesting electronic and mechanical properties; it is one of the most conductive materials known to science and has a breaking strength 100 times greater than steel.

Typically, when graphene is grown using chemical vapour deposition (CVD), the individual graphene flakes merge with a variety of different orientations, creating defects. In this work, titled ‘Controlling the Orientation, Edge Geometry and Thickness of Chemical Vapour Deposition Graphene’, and published in the journal ACS Nano, it was found that the orientation of the underlying copper substrate could be used to guide the graphene flakes so they are aligned, and these defects are prevented.

Team member Dr Tim Batten, Raman applications specialist at Renishaw, said, “The inVia Raman spectrometer is a very powerful tool for investigating the properties of graphene. This work gives a much better understanding of CVD graphene growth, which will be important for manufacturing graphene on an industrial scale.”

In 2006 Professor Andrea Ferrari (University of Cambridge), used a Renishaw Raman spectrometer to conduct the first Raman characterisation of graphene. He used samples from its discoverers, Nobel Prize winners Professor Andre Geim and Professor Kostya Novoselov (University of Manchester). Since then, researchers worldwide have used data from Renishaw Raman systems in hundreds of scientific papers on graphene, greatly assisting in the understanding and development of this amazing material.

For further details about the inVia Raman microscope, visit www.renishaw.com/raman

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Renishaw plc - Spectroscopy. (2019, February 09). Renishaw inVia Raman Microscope Helping Develop Large Defect-free Films of Graphene. AZoM. Retrieved on November 21, 2024 from https://www.azom.com/news.aspx?newsID=35642.

  • MLA

    Renishaw plc - Spectroscopy. "Renishaw inVia Raman Microscope Helping Develop Large Defect-free Films of Graphene". AZoM. 21 November 2024. <https://www.azom.com/news.aspx?newsID=35642>.

  • Chicago

    Renishaw plc - Spectroscopy. "Renishaw inVia Raman Microscope Helping Develop Large Defect-free Films of Graphene". AZoM. https://www.azom.com/news.aspx?newsID=35642. (accessed November 21, 2024).

  • Harvard

    Renishaw plc - Spectroscopy. 2019. Renishaw inVia Raman Microscope Helping Develop Large Defect-free Films of Graphene. AZoM, viewed 21 November 2024, https://www.azom.com/news.aspx?newsID=35642.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.