David Gasperino
University of Minnesota
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Publication
Featured researches published by David Gasperino.
MRS Proceedings | 2009
Jeffrey J. Derby; David Gasperino; Nan Zhang; Andrew Yeckel
The availability of large, single crystals of cadmium zinc telluride (CZT) with uniform properties would lead to improved performance of gamma radiation detectors fabricated from them. However, even though CZT crystals are the central element of these systems, there remains relatively little fundamental understanding about how these crystals grow and, especially, how crystal growth conditions affect the properties of grown crystals. This paper discusses the many challenges of growing better CZT crystals and how modeling may favorably impact these challenges. Our thesis is that crystal growth modeling is a powerful tool to complement experiments and characterization. It provides an important approach to close the loop between materials discovery, device research, systems performance, and producibility. Specifically, we discuss our efforts to model gradient freeze furnaces used to grow large CZT crystals at Pacific Northwest National Laboratories and Washington State University. Model results are compared with experimental measurements, and the insight gained from modeling is discussed.
MRS Proceedings | 2007
Jeffrey J. Derby; David Gasperino
Crystals are the central materials element of most gamma radiation detection systems, yet there remains surprisingly little fundamental understanding about how these crystals grow, how growth conditions affect crystal properties, and, ultimately, how detector performance is affected. Without this understanding, the prospect for significant materials improvement, i.e., growing larger crystals with superior quality and at a lower cost, remains a difficult and expensive exercise involving exhaustive trial-and-error experimentation in the laboratory. Thus, the overall goal of this research is to develop and apply computational modeling to better understand the processes used to grow bulk crystals employed in radiation detectors. Specifically, the work discussed here aims at understanding the growth of cadmium zinc telluride (CZT), a material of long interest to the detector community. We consider the growth of CZT via gradient freeze processes in electrodynamic multi-zone furnaces and show how crucible mounting and design are predicted to affect conditions for crystal growth. (authors)
Proceedings of SPIE | 2008
Jeffrey J. Derby; David Gasperino; Lisa Lun; Andrew Yeckel
The overall goal of this research is to develop and apply computational modeling to better understand the processes used to grow bulk crystals employed in radiation detectors. Specifically, the work discussed here aims at understanding the growth of cadmium zinc telluride (CZT), a material of long interest to the detector community. We consider the growth of CZT via gradient freeze processes in electrodynamic multizone furnaces and show how crucible mounting and design are predicted to affect conditions for crystal growth. Analysis of these systems will be essential for for significant materials improvement, i.e., growing larger crystals with superior quality and at a lower cost.
Langmuir | 2006
David Gasperino; Andrew Yeckel; Brian K. Olmsted; Michael D. Ward; Jeffrey J. Derby
Journal of Crystal Growth | 2009
David Gasperino; Mary Bliss; Kelly A. Jones; Kelvin G. Lynn; Jeffrey J. Derby
Journal of Crystal Growth | 2008
David Gasperino; Linli Meng; David J. Norris; Jeffrey J. Derby
Crystal Growth & Design | 2008
Masano Sugiyama; David Gasperino; Jeffrey J. Derby; Victor H. Barocas
Nuclear Radiation Detection Materials | 2007
Jeffrey J. Derby; David Gasperino
Nuclear Radiation Detection Materials | 2007
Jeffrey J. Derby; David Gasperino
2009 MRS Spring Meeting | 2010
Jeffrey J. Derby; David Gasperino; Nan Zhang; Andrew Yeckel