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Electrostatically-blind quantitative piezoresponse force microscopy free of distributed-force artifacts.
Killgore, Jason P; Robins, Larry; Collins, Liam.
Afiliação
  • Killgore JP; Applied Chemicals and Materials Division, National Institute of Standards and Technology Boulder CO USA killgore@nist.gov.
  • Robins L; Applied Chemicals and Materials Division, National Institute of Standards and Technology Boulder CO USA killgore@nist.gov.
  • Collins L; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory Oak Ridge TN USA.
Nanoscale Adv ; 4(8): 2036-2045, 2022 Apr 12.
Article em En | MEDLINE | ID: mdl-36133417
The presence of electrostatic forces and associated artifacts complicates the interpretation of piezoresponse force microscopy (PFM) and electrochemical strain microscopy (ESM). Eliminating these artifacts provides an opportunity for precisely mapping domain wall structures and dynamics, accurately quantifying local piezoelectric coupling coefficients, and reliably investigating hysteretic processes at the single nanometer scale to determine properties and mechanisms which underly important applications including computing, batteries and biology. Here we exploit the existence of an electrostatic blind spot (ESBS) along the length of the cantilever, due to the distributed nature of the electrostatic force, which can be universally used to separate unwanted long range electrostatic contributions from short range electromechanical responses of interest. The results of ESBS-PFM are compared to state-of-the-art interferometric displacement sensing PFM, showing excellent agreement above their respective noise floors. Ultimately, ESBS-PFM allows for absolute quantification of piezoelectric coupling coefficients independent of probe, lab or experimental conditions. As such, we expect the widespread adoption of EBSB-PFM to be a paradigm shift in the quantification of nanoscale electromechanics.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2022 Tipo de documento: Article