Scanning tunneling spectroscopy (STS), a technique that records the change in the tunneling current as a function of the bias (d/d) across the gap between a tip and the sample, is a powerful tool to characterize the electronic structure of single molecules and nanomaterials. While performing STS, the structure and condition of the scanning probe microscopy (SPM) tips are critical for reliably obtaining high quality point spectra. Here, we present an automated program based on machine learning models that can identify the Au(111) Shockley surface state in d/d point spectra and perform tip conditioning on clean or sparsely covered gold surfaces with minimal user intervention.
View Article and Find Full Text PDFWe measured photoinduced charge separation in isolated individual C-tethered 2,5-dithienylpyrrole triad (C triad) molecules with submolecular resolution using a custom-built laser-assisted scanning tunneling microscope. Laser illumination was introduced evanescently into the tunneling junction through total internal reflection, and the changes in tunneling current and electronic spectra caused by photoexcitation were measured and spatially resolved. Photoinduced charge separation was not detected for all C triad molecules, indicating that the conformations of the molecules may affect the excitation probability, lifetime, and/or charge distribution.
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