AFM-based functional tomography – to mill or not to mill, that is the question!

Niyorjyoti Sharma*, Kristina M. Holsgrove, James Dalzell, Conor J. McCluskey, Jilai He, Dennis Meier, Dharmalingham Prabhakaran, Brian J. Rodriguez, Raymond G.P. McQuaid, J. Marty Gregg, Amit Kumar*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

The electrical response of ferroelectric domain walls is often influenced by their geometry underneath the sample surface. Tomographic imaging in these material systems has therefore become increasingly important for its ability to correlate the surface-level functional response with subsurface domain microstructure. In this context, AFM-based tomography emerges as a compelling choice because of its simplicity, high resolution, and robust contrast mechanism. However, to date, the technique has been implemented in a limited number of ferroelectric materials, typically to depths of a few hundred nanometers or on relatively soft materials, resulting in an unclear understanding of its capabilities and limitations. In this work, AFM tomography is carried out in YbMnO3, mapping its complex domain microstructure up to a depth of ≈1.8 µm along with its current pathways. A model is presented, describing the impact of interconnected domain walls within the network, which act as current dividers and codetermine how currents distribute. Finally, challenges such as tip-blunting and subsurface damage are identified through TEM studies, and strategies to address them are also put forward. This study highlights the potential of AFM tomography and can spur interest within the ferroics community for its use in the investigation of similar material systems.

Original languageEnglish
Article number2400813
Number of pages9
JournalAdvanced Materials Interfaces
Early online date15 Jan 2025
DOIs
Publication statusEarly online date - 15 Jan 2025

Keywords

  • AFM
  • functional tomography
  • AFM-based functional tomography

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