| Literature DB >> 31592411 |
Kerry J Abrams1, Maurizio Dapor2,3, Nicola Stehling1, Martina Azzolini2,3, Stephan J Kyle1, Jan Schäfer4, Antje Quade4, Filip Mika5, Stanislav Kratky5, Zuzana Pokorna5, Ivo Konvalina5, Danielle Mehta6, Kate Black6, Cornelia Rodenburg1.
Abstract
Carbon and carbon/metal systems with a multitude of functionalities are ubiquitous in new technologies but understanding on the nanoscale remains elusive due to their affinity for interaction with their environment and limitations in available characterization techniques. This paper introduces a spectroscopic technique and demonstrates its capacity to reveal chemical variations of carbon. The effectiveness of this approach is validated experimentally through spatially averaging spectroscopic techniques and using Monte Carlo modeling. Characteristic spectra shapes and peak positions for varying contributions of sp2-like or sp3-like bond types and amorphous hydrogenated carbon are reported under circumstances which might be observed on highly oriented pyrolytic graphite (HOPG) surfaces as a result of air or electron beam exposure. The spectral features identified above are then used to identify the different forms of carbon present within the metallic films deposited from reactive organometallic inks. While spectra for metals is obtained in dedicated surface science instrumentation, the complex relations between carbon and metal species is only revealed by secondary electron (SE) spectroscopy and SE hyperspectral imaging obtained in a state-of-the-art scanning electron microscope (SEM). This work reveals the inhomogeneous incorporation of carbon on the nanoscale but also uncovers a link between local orientation of metallic components and carbon form.Entities:
Keywords: carbon orientations; carbon surface analysis; characterization; modeling; secondary electron emission; secondary electron hyperspectral imaging; secondary electron spectroscopy
Year: 2019 PMID: 31592411 PMCID: PMC6774015 DOI: 10.1002/advs.201900719
Source DB: PubMed Journal: Adv Sci (Weinh) ISSN: 2198-3844 Impact factor: 16.806
Figure 1a) SEHI micrograph using all secondary electron energies up to 6 eV of fresh HOPG and b) SEHI of aged HOPG using all secondary electron energies up to 6 eV. c) SEM micrograph of HOPG surface with EBID boxes. d) Corresponding atomic force microscopy (AFM) micrograph with the height bar denoting the height of the EBID box in nm. The same scale bar is valid for (c) and (d).
Figure 2a) Micrographs of primary contamination of a fresh surface of HOPG. Image taken using all energies up to 6 eV at time = 0, b) micrographs of primary contamination of a fresh surface of HOPG. Image taken using all energies up to 6 eV at time = 4 min and dose 0.4 C m−2), c) overlay of the images at the start and end illustrating how the bright contrast traverses across the HOPG surface, and d) micrographs of Secondary contamination of a Fresh surface (Pre‐EBID). Image has been contrast enhanced. e) Post EBID‐same area as d) illustrating the loss of contrast observed with electron beam exposure. f) Intensity line profiles taken from the areas marked by dashed white lines of d) Pre‐EBID in blue and e) Post EBID showing the loss of emission observed with Secondary contamination in orange.
Figure 3a) Low Voltage SEM (LVSEM) micrographs of HOPG taken looking at the edge of the sample where the layers have separated and ambient air contamination has intercalated into the gallery of HOPG. b) Cryo‐LV SEM micrograph of contamination islands on all surfaces and features on HOPG surface. c) High resolution Cryo‐LV SEM micrograph of contamination islands.
Figure 4a) SE Spectrum of a fresh HOPG surface (red), an aged surface (blue) and HOPG surface with an EBID layer (green), b) Monte Carlo plot of SE spectrum of a fresh HOPG surface (red) with experimental curve (black.) Table inset shows the modeled proportion of HOPG, a‐CH, and Diamond and their work functions, c) Monte Carlo plot of SE spectrum of an aged HOPG surface (blue) with experimental curve (black) Table inset shows the modeled proportion of HOPG, a‐CH, and Diamond and their work functions; d) Monte Carlo plot of SE spectrum of an HOPG surface with EBID (green) with experimental curve (black) Table inset shows the modeled proportion of HOPG, a‐CH, and Diamond and their work functions.
Figure 5a) LVSEM of PdAg film exhibiting both smooth and porous morphologies. b) SE spectrum of thin and thick PdAg metal films.