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Identifying Nanoscale Structure-Function Relationships Using Multimodal Atomic Force Microscopy, Dimensionality

Jessica Kong1, Rajiv Giridharagopal1, Jeffrey S Harrison1

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This study combines infrared spectroscopy with electrical measurements in scanning probe microscopy to map polymer blend composition and electrical properties at the nanoscale. The approach successfully identifies semiconducting polymers within insulating matrices.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Spectroscopy

Background:

  • Correlating nanoscale chemical information with physical properties is crucial for advanced materials.
  • Functional scanning probe microscopy (SPM) offers potential but often requires combining multiple techniques.

Purpose of the Study:

  • To develop a data analytic approach combining photoinduced force microscopy (PiFM) and conductive atomic force microscopy (c-AFM).
  • To correlate nanoscale chemical composition with electrical properties in polymer blends.

Main Methods:

  • Utilized infrared vibrational excitation maps from PiFM for compositional data.
  • Integrated electrical data from c-AFM.
  • Employed principal component analysis (PCA) and principal component regression (PCR) for data analysis.

Main Results:

  • Demonstrated that PiFM spectra can identify local polymer composition, though distinct from FTIR.
  • Successfully predicted local current and identified polymer composition using PCA and PCR.
  • Observed evidence of semiconducting poly(3-hexylthiophene) (P3HT) within insulating poly(methyl methacrylate) (PMMA) aggregates.

Conclusions:

  • The combined SPM approach provides a powerful method for extracting complex nanoscale compositional and electrical information.
  • This technique is generalizable to other correlated SPM datasets.
  • Enables characterization of material properties unattainable by single techniques.