Carbon Nanotubes Characterization by Channeled Fast Ions Spatial and Angular Distribution Fingerprints
Abstract
In this paper we investigate possibility of carbon nanotubes characterization by differentiation in spatial and angular distribution fingerprints obtained by fast ions channeling. We analyze straight single walled carbon nanotubes (SWNTs) interacting with fast ion beams. We calculate the image potential for protons moving through the four types of SWNTs at the speeds of 3 a.u.. We calculate total potential in straight carbon nanotubes. Interaction of channelled ions with nanotube electrons we calculate by linearized, two dimensional (2D), extended two-fluid hydrodynamic model. We simulate ion beams channelling through the four types of SWNTs under calculated conditions of interaction and calculate spatial and angular distributions of channelled particles what we use as method for different SWNTs characterization.
Keywords:
Carbon nanotubes / Channelling / CharacterizationSource:
5th Mediterranean Conference on Embedded Computing : Proceedings, 2016, 68-71Funding / projects:
Note:
- 5th Mediterranean Conference on Embedded Computing (MECO), Jun 12-16, 2016, Bar, Montenegro
DOI: 10.1109/meco.2016.7525705
ISSN: 2377-5475
WoS: 000387159800021
Scopus: 2-s2.0-84994098327
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Institution/Community
VinčaTY - CONF AU - Karbunar, Lazar AU - Borka, Duško AU - Radović, Ivan PY - 2016 UR - https://vinar.vin.bg.ac.rs/handle/123456789/7117 AB - In this paper we investigate possibility of carbon nanotubes characterization by differentiation in spatial and angular distribution fingerprints obtained by fast ions channeling. We analyze straight single walled carbon nanotubes (SWNTs) interacting with fast ion beams. We calculate the image potential for protons moving through the four types of SWNTs at the speeds of 3 a.u.. We calculate total potential in straight carbon nanotubes. Interaction of channelled ions with nanotube electrons we calculate by linearized, two dimensional (2D), extended two-fluid hydrodynamic model. We simulate ion beams channelling through the four types of SWNTs under calculated conditions of interaction and calculate spatial and angular distributions of channelled particles what we use as method for different SWNTs characterization. C3 - 5th Mediterranean Conference on Embedded Computing : Proceedings T1 - Carbon Nanotubes Characterization by Channeled Fast Ions Spatial and Angular Distribution Fingerprints SP - 68 EP - 71 DO - 10.1109/meco.2016.7525705 UR - https://hdl.handle.net/21.15107/rcub_vinar_7117 ER -
@conference{ author = "Karbunar, Lazar and Borka, Duško and Radović, Ivan", year = "2016", abstract = "In this paper we investigate possibility of carbon nanotubes characterization by differentiation in spatial and angular distribution fingerprints obtained by fast ions channeling. We analyze straight single walled carbon nanotubes (SWNTs) interacting with fast ion beams. We calculate the image potential for protons moving through the four types of SWNTs at the speeds of 3 a.u.. We calculate total potential in straight carbon nanotubes. Interaction of channelled ions with nanotube electrons we calculate by linearized, two dimensional (2D), extended two-fluid hydrodynamic model. We simulate ion beams channelling through the four types of SWNTs under calculated conditions of interaction and calculate spatial and angular distributions of channelled particles what we use as method for different SWNTs characterization.", journal = "5th Mediterranean Conference on Embedded Computing : Proceedings", title = "Carbon Nanotubes Characterization by Channeled Fast Ions Spatial and Angular Distribution Fingerprints", pages = "68-71", doi = "10.1109/meco.2016.7525705", url = "https://hdl.handle.net/21.15107/rcub_vinar_7117" }
Karbunar, L., Borka, D.,& Radović, I.. (2016). Carbon Nanotubes Characterization by Channeled Fast Ions Spatial and Angular Distribution Fingerprints. in 5th Mediterranean Conference on Embedded Computing : Proceedings, 68-71. https://doi.org/10.1109/meco.2016.7525705 https://hdl.handle.net/21.15107/rcub_vinar_7117
Karbunar L, Borka D, Radović I. Carbon Nanotubes Characterization by Channeled Fast Ions Spatial and Angular Distribution Fingerprints. in 5th Mediterranean Conference on Embedded Computing : Proceedings. 2016;:68-71. doi:10.1109/meco.2016.7525705 https://hdl.handle.net/21.15107/rcub_vinar_7117 .
Karbunar, Lazar, Borka, Duško, Radović, Ivan, "Carbon Nanotubes Characterization by Channeled Fast Ions Spatial and Angular Distribution Fingerprints" in 5th Mediterranean Conference on Embedded Computing : Proceedings (2016):68-71, https://doi.org/10.1109/meco.2016.7525705 ., https://hdl.handle.net/21.15107/rcub_vinar_7117 .