D
David W. Greve
Researcher at Carnegie Mellon University
Publications - 146
Citations - 3447
David W. Greve is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Transducer & Lamb waves. The author has an hindex of 28, co-authored 140 publications receiving 3207 citations.
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Large grain polycrystalline silicon by low‐temperature annealing of low‐pressure chemical vapor deposited amorphous silicon films
TL;DR: In this paper, the average grain size of the crystallized amorphous silicon films depends on the annealing temperature and the deposition conditions, and the final grain size is also influenced by the annaling temperature with the largest grain size obtained at low-annealing temperatures.
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Reconstructions of the GaN\(0001̄\) Surface
TL;DR: Using scanning tunneling microscopy and reflection high-energy electron diffraction (RHEED), the surface structures of cubic and hexagonal GaN have been studied for the first time as mentioned in this paper.
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Reconstructions of GaN(0001) and (0001̄) surfaces: Ga-rich metallic structures
Arthur R. Smith,Randall M. Feenstra,David W. Greve,M.-S. Shin,Marek Skowronski,Jörg Neugebauer,John E. Northrup +6 more
TL;DR: In this paper, the electron counting rule is violated for these surfaces, but they nonetheless form minimum energy structures, and the Ga-rich reconstructions for each surface are found to have a metallic character involving significant overlap between Ga valence electrons.
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SAW Sensors for Chemical Vapors and Gases.
TL;DR: This review provides a general overview on the fundamental aspects and some major advances of Rayleigh wave-based SAW sensors in sensing chemicals in a gaseous phase and suggests some appropriate sensing approaches for particular applications.
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Single-chip computers with microelectromechanical systems-based magnetic memory (invited)
L. Richard Carley,James A. Bain,Gary K. Fedder,David W. Greve,D.F. Guillou,Michael S.-C. Lu,Tamal Mukherjee,Suresh Santhanam,Leon Abelmann,Seungook Min +9 more
TL;DR: The approach presented combines advances in the field of microelectromechanical systems (MEMS) and micromagnetics with traditional low-cost very-large-scale integrated circuit style parallel lithographic manufacturing for single-chip computer implementation.