The effect of iron on the surface graphitization of single crystalline silicon carbide wafer through thermal decomposition
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this study, a method for low temperature (1100oC) surface graphitization of single crystalline silicon carbide (SiC) is developed. In order to decrease the decomposition temperature of SiC, Fe solutions in different molarities and Fe thin films with various thicknesses were applied on SiC substrate by solution technique and electron beam deposition, respectively. After that, samples were first hydrogen and then vacuum annealed. Samples before and after annealing were characterized using various imaging and spectroscopic techniques such as SEM, EDX, XRD, XPS and Raman Spectroscopy. The effects of catalyst application method and the catalyst thicknesses were investigated systematically. The results showed that Fe can be effectively used to extract the silicon atoms from SiC at lower temperatures, resulting in graphitic structure formation. The presented approach may be useful for decreasing the graphene synthesis temperature which is very critical for semiconductor processing.
Author
Elif Mercan
Institution
How to Cite
Elif Mercan (Master Thesis). The effect of iron on the surface graphitization of single crystalline silicon carbide wafer through thermal decomposition, 2017, TOBB Economics and Technology University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from TOBB Economics and Technology University
- Eavesdropping potential in wireless sensor networks and modeling and analysis of network life time recovery(2018)
- A comparison of the effects of two different internal audit systems on strategic planning: A case study(2018)
- Unsupervised driver performance scoring using geographical position and sensor data(2018)
- Perception of Syrian asylum seekers and nationalism in Turkey: the case of Ekşi Sözlük(2018)
- Invisible women in the past: Politicization process of traditional women(2018)
- Product scheduling problem with learning effect in a flexible flow shop: an application in defense industry(2018)