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Title: Imaging mechanism for hyperspectral scanning probe microscopy via Gaussian process modelling

Journal Article · · npj Computational Materials

We investigate the ability to reconstruct and derive spatial structure from sparsely sampled 3D piezoresponse force microcopy data, captured using the band-excitation (BE) technique, via Gaussian Process (GP) methods. Even for weakly informative priors, GP methods allow unambiguous determination of the characteristic length scales of the imaging process both in spatial and frequency domains. We further show that BE data set tends to be oversampled in the spatial domains, with ~30% of original data set sufficient for high-quality reconstruction, potentially enabling faster BE imaging. At the same time, reliable reconstruction along the frequency domain requires the resonance peak to be within the measured band. This behavior suggests the optimal strategy for the BE imaging on unknown samples. Finally, we discuss how GP can be used for automated experimentation in SPM, by combining GP regression with non-rectangular scans.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1608212
Journal Information:
npj Computational Materials, Vol. 6, Issue 1; ISSN 2057-3960
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

References (34)

Intermodulation atomic force microscopy journal April 2008
Dynamic atomic force microscopy methods journal September 2002
Active-learning and materials design: the example of high glass transition temperature polymers journal June 2019
Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform journal April 2018
The band excitation method in scanning probe microscopy for rapid mapping of energy dissipation on the nanoscale journal September 2007
Principal component and spatial correlation analysis of spectroscopic-imaging data in scanning probe microscopy journal February 2009
Acoustic microscopy by atomic force microscopy journal March 1994
Modification and detection of domains on ferroelectric PZT films by scanning force microscopy journal January 1994
Spatially resolved mapping of disorder type and distribution in random systems using artificial neural network recognition journal July 2011
Magnetic imaging by ‘‘force microscopy’’ with 1000 Å resolution journal May 1987
Functional recognition imaging using artificial neural networks: applications to rapid cellular identification via broadband electromechanical response journal September 2009
Breaking the Time Barrier in Kelvin Probe Force Microscopy: Fast Free Force Reconstruction Using the G-Mode Platform journal August 2017
Band excitation in scanning probe microscopy: sines of change journal November 2011
How the doors to the nanoworld were opened journal October 2006
On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets journal September 2014
Jags book November 2014
Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design journal February 2019
Kelvin probe force microscopy journal June 1991
DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing journal July 2019
Complete information acquisition in dynamic force microscopy journal March 2015
G-mode magnetic force microscopy: Separating magnetic and electrostatic interactions using big data analytics journal May 2016
Atomic Force Microscope journal March 1986
Rapid multidimensional data acquisition in scanning probe microscopy applied to local polarization dynamics and voltage dependent contact mechanics journal September 2008
Disorder Identification in Hysteresis Data: Recognition Analysis of the Random-Bond–Random-Field Ising Model journal October 2009
Full information acquisition in piezoresponse force microscopy journal December 2015
Gaussian Processes for Machine Learning book January 2005
Decoupling Electrochemical Reaction and Diffusion Processes in Ionically-Conductive Solids on the Nanometer Scale journal November 2010
Nanoscale Visualization and Control of Ferroelectric Domains by Atomic Force Microscopy journal May 1995
Spectroscopic imaging in piezoresponse force microscopy: New opportunities for studying polarization dynamics in ferroelectrics and multiferroics journal July 2012
Full data acquisition in Kelvin Probe Force Microscopy: Mapping dynamic electric phenomena in real space journal August 2016
Model-based extraction of material properties in multifrequency atomic force microscopy journal May 2012
Switching spectroscopy piezoresponse force microscopy of ferroelectric materials journal February 2006
Full information acquisition in piezoresponse force microscopy
  • Somnath, Suhas; Belianinov, Alexei; Kalinin, Sergei
  • Oak Ridge Leadership Computing Facility; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) https://doi.org/10.13139/olcf/1464456
dataset January 2018
BE PFM of BiFeO3 film dataset January 2020

Cited By (1)