Abstrati-The experimental carbon Auger lineshape for two samples of carbyne has been obtained. The electronic structure of carbynes has been calculated by the self-deconvolution of experimental Auger spectra. Results are discussed in terms of the electronic properties of linear molecules with 2-6 ca
Auger electron spectroscopy and electron energy-loss spectroscopy study of ferromagnetic carbon
β Scribed by Yu.M. Shulg'a; A.I. Boldyrev; A.A. Ovchinnikov
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 297 KB
- Volume
- 189
- Category
- Article
- ISSN
- 0009-2614
No coin nor oath required. For personal study only.
β¦ Synopsis
A novel synthetic material -ferromagnetic carbon (FMC) -produced in polyacrylonitrile pyrolitic decomposition has been studied via Auger electron spectroscopy (AES) and electron energy-loss spectroscopy (EELS). It has been stated, that the main impurities in FMC are nitrogen and oxygen; their content was measured to be 2.3 and 4.7 at%, respectively. In addition, the nand (o+r)-plasmon energies have been determined to be equal to 5.6 and 24 eV, respectively. A smaller number of x electrons in FMC than in graphite was found from analysis of the EEL spectra, in agreement with the theoretical model of FMC.
π SIMILAR VOLUMES
The electron energy loss spectrum of C6c in the gas phase from 1 to 30 eV is presented. The spectrum is similar to spectra of the solid, with shifts in the mutually observed bands seen only for the previously identified plasmon features. These results confirm this identification as well as provide a
The naphthalene energy-loss spectrum from 3 to 16 eV obtained for 100 eV incident electrons cIoscly resembles photoabsorption results. The need to include Rydberg configurations for any theoretical analysis of the spectrum is emphasized. The data yield an integrated oscillator strength of 8.6 below
## Abstract Measurements of thickness using electron energy loss spectroscopy (EELS) are revised. Absolute thickness values can be quickly and accurately determined with the KramersβKronig sum method. The EELS data analysis is even much easier with the logβratio method, however, absolute calibratio