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Michael Cullinan

Researcher at University of Texas at Austin

Publications -  99
Citations -  907

Michael Cullinan is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Selective laser sintering & Microscale chemistry. The author has an hindex of 14, co-authored 91 publications receiving 688 citations. Previous affiliations of Michael Cullinan include Massachusetts Institute of Technology & University of Texas System.

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Carbon nanotubes as piezoresistive microelectromechanical sensors: Theory and experiment

TL;DR: In this article, the authors present a theoretical framework that makes it possible to predict the strain sensitivity of a carbon nanotube based on it chiral indices $(n,m).
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A novel microscale selective laser sintering (μ-SLS) process for the fabrication of microelectronic parts.

TL;DR: A new microscale additive manufacturing process called microscale selective laser sintering (μ-SLS) that can produce true 3D metal parts with sub-5 μm resolution and a throughput of greater than 60 mm3/hour is presented.
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Scaling electromechanical sensors down to the nanoscale

TL;DR: In this article, the authors discuss some of the fundamental limitations in scaling mechanical sensors down to the nanoscale and some emerging technologies for nan-scale sensing, and discuss the potential of these technologies.
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A Comprehensive Study of the Sintering of Copper Nanoparticles Using Femtosecond, Nanosecond, and Continuous Wave Lasers

TL;DR: In this article, the exact processing windows for Cu nanoparticle (NP) sintering are not well known, and the dependence of the processing window on Cu layer thicknesses and laser exposure durations has also been investigated.
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Design and characterization of a two-axis, flexure-based nanopositioning stage with 50 mm travel and reduced higher order modes

TL;DR: In this article, a parametric design of two XY flexure-based stages with a travel range of up to 50mm and sub-micron resolution is presented, and the results obtained from FEA and experimental measurements are shown to be in good agreement with the analytical predictions.