Deep neural networks for understanding noisy data applied to physical property extraction in scanning probe microscopy
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Title
Deep neural networks for understanding noisy data applied to physical property extraction in scanning probe microscopy
Authors
Keywords
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Journal
npj Computational Materials
Volume 5, Issue 1, Pages -
Publisher
Springer Nature
Online
2019-02-22
DOI
10.1038/s41524-019-0148-5
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- (2014) R. Proksch JOURNAL OF APPLIED PHYSICS
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- (2012) Qian Nataly Chen et al. APPLIED PHYSICS LETTERS
- Band excitation in scanning probe microscopy: sines of change
- (2011) Stephen Jesse et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Mapping nanoscale elasticity and dissipation using dual frequency contact resonance AFM
- (2011) A Gannepalli et al. NANOTECHNOLOGY
- Potential Energy Surfaces Fitted by Artificial Neural Networks
- (2010) Chris M. Handley et al. JOURNAL OF PHYSICAL CHEMISTRY A
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- (2010) Fei Yin et al. MATERIALS & DESIGN
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- (2010) Vinod Kumar Gupta et al. TALANTA
- Functional recognition imaging using artificial neural networks: applications to rapid cellular identification via broadband electromechanical response
- (2009) M P Nikiforov et al. NANOTECHNOLOGY
- Probing the temperature dependence of the mechanical properties of polymers at the nanoscale with band excitation thermal scanning probe microscopy
- (2009) M P Nikiforov et al. NANOTECHNOLOGY
- Principal component and spatial correlation analysis of spectroscopic-imaging data in scanning probe microscopy
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- Local thermomechanical characterization of phase transitions using band excitation atomic force acoustic microscopy with heated probe
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- (2008) Jose R. Lozano et al. PHYSICAL REVIEW LETTERS
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- (2007) James M. Masciotti et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
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