A laser-deposition approach to compositional-spread discovery of materials on conventional sample sizes
Parallel (multi-sample) approaches, such as discrete combinatorial synthesis or continuous compositional-spread (CCS), can significantly increase the rate of materials discovery and process optimization. Here we review our generalized CCS method, based on pulsed-laser deposition, in which the synchr...
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Published in | Measurement science & technology Vol. 16; no. 1; pp. 21 - 31 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
IOP Publishing
01.01.2005
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Subjects | |
Online Access | Get full text |
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Summary: | Parallel (multi-sample) approaches, such as discrete combinatorial synthesis or continuous compositional-spread (CCS), can significantly increase the rate of materials discovery and process optimization. Here we review our generalized CCS method, based on pulsed-laser deposition, in which the synchronization between laser firing and substrate translation (behind a fixed slit aperture) yields the desired variations of composition and thickness. In situ alloying makes this approach applicable to the non-equilibrium synthesis of metastable phases. Deposition on a heater plate with a controlled spatial temperature variation can additionally be used for growth-temperature-dependence studies. Composition and temperature variations are controlled on length scales large enough to yield sample sizes sufficient for conventional characterization techniques (such as temperature-dependent measurements of resistivity or magnetic properties). This technique has been applied to various experimental studies, and we present here the results for the growth of electro-optic materials (Sr(sub x)Ba(sub 1-x)Nb(sub 2)O(sub 6)) and magnetic perovskites (Sr(sub 1-x)Ca(sub x)RuO(sub 3)), and discuss the application to the understanding and optimization of catalysts used in the synthesis of dense forests of carbon nanotubes. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 DE-AC05-00OR22725 USDOE Office of Science (SC) |
ISSN: | 0957-0233 1361-6501 |
DOI: | 10.1088/0957-0233/16/1/004 |