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Morphological instabilities during explosive crystallization of germanium films

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Abstract

Explosive crystallization, a self-sustaining transformation of an amorphous phase to a crystalline phase mediated by a thin liquid layer, exhibits three distinct kinetic and morphological regimes in germanium. Dynamics of these growth processes and the resulting morphologies have been examined in detail. Steady-state crystallization velocities were measured as a function of heat loss into the substrate. Dark field optical microscopy, tapping mode atomic force microscopy, transmission electron microscopy, and x-ray diffraction were used to examine the crystallized films. Analyses of the experimental results provide evidence for two distinct processes governing explosive crystallization in limits of high substrate temperature (low heat loss) and low substrate temperature (high heat loss). The low temperature growth mode produces a "scalloped" structure with propagation velocities that monotonically increase with temperature. At high substrate temperatures, the velocity is independent of temperature and a "columnar" pattern with preferred texture is formed.

Original languageEnglish
Pages (from-to)P11121-P11128
JournalMaterials Research Society Symposium - Proceedings
Volume648
StatePublished - 2001
Externally publishedYes
EventGrowth, Evolution and Properties of Surfaces, Thin Films and Self-Organized Strutures - Boston, MA, United States
Duration: Nov 27 2000Dec 1 2000

Funding

The authors would like to acknowledge the financial support of the National Science Foundation's Knowledge and Distributed Information award, DMR-9980100. This work was performed in part at the Cornell Center for Materials Research and Cornell Nanofabrication Facility (a member of the National Nanofabrication Users Network). Support for the CCMR is provided through NSF Grant DMR-9632275, part of the NSF Materials Research Science and Engineering Centers Program. Additional support for CCMR is provided by Cornell University and by industrial sources. CNF is supported by the NSF under Grant ECS-9731293, Cornell University and industrial affiliates. Special thanks go to D. Utama, S. Yang, and E. Hackett.

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