G-mode magnetic force microscopy: Separating magnetic and electrostatic interactions using big data analytics

Collins, Liam; Belianinov, Alex; Proksch, Roger; Zuo, Tingting; Zhang, Yong; Liaw, Peter K.; Kalinin, Sergei V.; Jesse, Stephen

doi:10.1063/1.4948601

Title: G-mode magnetic force microscopy: Separating magnetic and electrostatic interactions using big data analytics

Journal Article · Mon May 09 00:00:00 EDT 2016 · Applied Physics Letters

DOI:https://doi.org/10.1063/1.4948601· OSTI ID:1257904

Collins, Liam ^[1]; Belianinov, Alex ^[1]; Proksch, Roger ^[2]; Zuo, Tingting ^[3];

^[4]; Liaw, Peter K. ^[5];

^[1]; Jesse, Stephen ^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Asylum Research, Santa Barbara, CA (United States)
Univ. of Science and Technology, Beijing (China); Univ. of Tennessee, Knoxville, TN (United States)
Univ. of Science and Technology, Beijing (China)
Univ. of Tennessee, Knoxville, TN (United States)

We develop a full information capture approach for Magnetic Force Microscopy (MFM), referred to as generalized mode (G-Mode) MFM. G-Mode MFM acquires and stores the full data stream from the photodetector at sampling rates approaching the intrinsic photodiode limit. The data can be subsequently compressed, denoised, and analyzed, without information loss. Also, 3 G-Mode MFM is implemented and compared to traditional heterodyne based MFM on model systems including domain structures in ferromagnetic Yttrium Iron Garnet (YIG) and electronically and magnetically inhomogeneous high entropy alloy, CoFeMnNiSn. We investigate the use of information theory to mine the G-Mode MFM data and demonstrate its usefulness for extracting information which may be hidden in traditional MFM modes, including signatures of nonlinearities and mode coupling phenomena. Finally we demonstrate detection and separation of magnetic and electrostatic tip-sample interactions from a single G-Mode image, by analyzing the entire frequency response of the cantilever. G-Mode MFM is immediately implementable on any AFM platform and as such is expected to be a useful technique for probing spatiotemporal cantilever dynamics and mapping material properties as well as their mutual interactions.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Center for Nanophase Materials Sciences (CNMS)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1257904

Journal Information:: Applied Physics Letters, Vol. 108, Issue 19; ISSN 0003-6951

Publisher:: American Institute of Physics (AIP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 20 works

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