Optimization of sensor materials using physical vapor transport growth method

dc.contributor.authorEmge, Ian
dc.contributor.authorKazal, Dan
dc.contributor.authorCooper, Christopher
dc.contributor.authorSood, Rachit
dc.contributor.authorSaraf, Sonali
dc.contributor.authorSu, Ching Hua
dc.contributor.authorCullum, Brian
dc.contributor.authorChoa, Fow-Sen
dc.contributor.authorArnold, Bradley
dc.contributor.authorKelly, Lisa
dc.contributor.authorSingh, Narsingh
dc.date.accessioned2022-02-01T01:19:23Z
dc.date.available2022-02-01T01:19:23Z
dc.date.issued2021-04-12
dc.descriptionSPIE Defense + Commercial Sensing, online only, 12-17 April 2021en_US
dc.description.abstractDuring the past several decades physical vapor transport (PVT) method has been extensively used for developing laser and electronic and optical sensor materials especially for incongruent and high vapor materials. Extensive careful studies of the NASA Marshall Space Flight Center on ZnSe growth by PVT has demonstrated that both thermal and solutal convection play very important roles on the quality of crystals and can be controlled by microgravity experiments. In case, the growth is performed by sputtering or systems such as DENTON, it is very difficult to control fluid flow and both thermal and solutal convective flows. We have demonstrated that by controlling the transport path, temperature of substrate and source and using purified source micron size thick ness can be achieved. We will present the experimental results of pure and doped lead selenide (PbSe) which demonstrated various morphologies and bandgap based on size of particles based on growth condition.
dc.description.urihttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/11757/117570O/Optimization-of-sensor-materials-using-physical-vapor-transport-growth-method/10.1117/12.2586081.full?SSO=1
dc.format.extent5 pagesen_US
dc.genreconference papers and proceedings
dc.genrepresentations (communicative events)
dc.genrevideorecordings
dc.identifierdoi:10.13016/m2ekyx-7ag4
dc.identifier.citationIan Emge, Dan Kazal, Christopher Cooper, Rachit Sood, Sonali Saraf, Ching Hua Su, Brian Cullum, Fow-Sen Choa, Bradley R. Arnold, Lisa Kelly, Narsingh B. Singh, "Optimization of sensor materials using physical vapor transport growth method," Proc. SPIE 11757, Smart Biomedical and Physiological Sensor Technology XVIII, 117570O (12 April 2021); https://doi.org/10.1117/12.2586081en_US
dc.identifier.urihttps://doi.org/10.1117/12.2586081
dc.identifier.urihttp://hdl.handle.net/11603/24097
dc.language.isoen_USen_US
dc.publisherSPIEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Chemistry & Biochemistry Department Collection
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Mathematics and Statistics Department
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.en_US
dc.rightsPublic Domain Mark 1.0*
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.titleOptimization of sensor materials using physical vapor transport growth methoden_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0009-0002-8638-4713en_US
dcterms.creatorhttps://orcid.org/0000-0002-5250-8290
dcterms.creatorhttps://orcid.org/0000-0001-9613-6110
dcterms.creatorhttps://orcid.org/0000-0002-1810-0283

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