INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Using Arrested Precipitation Technique (APT) which is based on self organized growth process molybdenum bismuth telluride thin films have been prepared on clean glass substrate. Deposited MoBi2Te5 thin films were dried in constant temperature oven at 110oC and further characterized for their optical, structural, morphological, compositional and electrical analysis. Optical absorption spectra recorded in the wavelength range 300-800 nm showed band gap (Eg) 1.72 eV. X-ray diffraction pattern and scanning electron microscopic images showed that MoBi2Te5 thin films are nanocrystalline having rhombohedral structure. The compositional analysis showed close agreements in theoretical and experimental atomic percentages of Mo4+, Bi3+ and Te2- suggest that chemical formula MoBi2Te5 assigned to as deposited molybdenum bismuth telluride new material is confirm. The resistivity and thermoelectric power measurement showed that the films are semiconducting with n-type conduction.
Keywords:
Thin films, APT, SEM, EDAX, XRD, TEP.Dadaso
Cite Article:
"An aqueous synthesis and characterization of nanocrystalline MoBi2Te5 thin films", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 11, page no.c583-c588, November-2022, Available :http://www.ijnrd.org/papers/IJNRD2211272.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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