Automated Electrical Atomic Force Microscopy for Layered Materials Research / Compact Overview
SPEAKERS
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James Kerfoot
Park Systems UK Ltd, Nottingham, United Kingdom
- James received his PhD in Physics from the University of Nottingham in 2018, studying the morphology and optical properties of monolayers of self-assembled molecules and their heterostructures. He then went on to work as a postdoctoral researcher, also at the University of Nottingham, working on the formation of hybrid heterostructures of molecular assemblies and layered materials demonstrating both electroluminescence and selective triplet excitation. In 2020, James took up a position as a postdoctoral researcher at the Cambridge Graphene Centre, using scanning probe microscopy and optical spectroscopy to study electrostatics and optical properties of layered materials heterostructures with controlled twist angle and their scalable incorporation into integrated photonic circuits. Since January 2022, James has been a member of the Park Systems team as an applications scientist, supporting customers with interest ranging from fundamental physics to industrial scale production in the application of a diverse range of scanning probe microscopy techniques to gain insightful results.
- Access Speaker Publications
SPEAKERS
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- James Kerfoot
- Park Systems UK Ltd, Nottingham, United Kingdom
Authors
This webinar provides a compact overview of how automated atomic force microscopy can support layered materials research, especially where efficient and reliable nanoscale characterization of both morphology and electrical properties are essential. We explore how the automation features of the FX200 AFM make otherwise laborious experiments easy to perform. We look at example studies of moiré patterns in graphene on hBN and twisted bilayer MoS2 using several AFM modes. We then switch to a live demonstration showing topographic mapping, AFM cleaning and moiré imaging, highlighting the applicability of Park’s FX series AFMs for both materials discovery and scale-up.
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