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Browsing by Author "Michael Paesler, Member"

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    Characterization of Aerosols Using Multiwavelength Multistatic Optical Scattering Data.
    (2011-06-06) Snyder, Michelle; C Philbrick, Chair; Hans Hallen, Co-Chair; Mohamed Bourham, Minor; Kenan Gundogdu, Member; Michael Paesler, Member
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    Diffusion, Implementation and Reinvention of a University Physics Reform: The Case of SCALE-UP.
    (2015-03-18) Foote, Kathleen Teressa; Robert Beichner, Chair; Michael Paesler, Member; Albert Young, Member; Charles Henderson, External; Margaret Blanchard, Member
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    Examining End-Of-Chapter Problems Across Editions of an Introductory Calculus-Based Physics Textbook.
    (2016-06-28) Xiao, Bin; Robert Beichner, Chair; Michael Paesler, Member; David Haase, Member; Karen Keene, Member
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    The Impacts of Athletic Field Paint on Light Spectral Quality, Turfgrass Photosynthesis and Transpiration in Painted Turfgrass Canopies.
    (2013-04-15) Reynolds, William Casey; Grady Miller, Co-Chair; Thomas Rufty, Co-Chair; Randy Wells, Member; David Livingston, Member; Michael Paesler, Member; Michael Hyman, Graduate School Representative
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    "MagStim": Micromagnetic Neurostimulation for Implantable Systems.
    (2011-04-11) Srinivas, Sundar; David Aspnes, Chair; Gianluca Lazzi, Co-Chair; Zhilin Li, Minor; Michael Paesler, Member; Marco Buongiorno-Nardelli, Member
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    Monte Carlo Techniques for Predicting Electron Backscattering
    (2001-12-17) Kapraun, Dustin F.; Fred Lado, Chair; Hien Tran, Co-Chair; Michael Paesler, Member
    The objective of this research is to develop and implement an algorithm that can accurately and efficiently predict backscatter yield and the trajectories and energies of electrons backscattered by solids. Taking into account the energy and direction of an incident electron, as well as the atomic number, atomic mass and density of the solid, our program determines a statistically reasonable path for the electron through the solid via Monte Carlo techniques. Such a model can and has been used in a variety of applications, but in this case we are interested in predicting the behavior of backscattered electrons. When applied to large numbers of electrons, the program provides statistically accurate results. In particular, excellent agreement is seen between the backscatter coefficients measured by Hunger and Kuchler and those predicted by our program. Furthermore, the angular distributions and energy distributions of backscattered electrons predicted by our program are consistent with those measured by Bishop.
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    A Novel Covalent Nanoglue and Whole Wafer Self-Alignment Based Upon Self-Assembled Monolayers.
    (2011-11-18) Emanuel, Ako; Hans Hallen, Chair; Michael Paesler, Member; David Aspnes, Member; Keith Weninger, Member; Jack Bacheler, Graduate School Representative
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    Switching Applications Based on Reversible Insulator-Metal Transition of Vanadium Dioxide Thin Films Synthesized by Pulsed Laser Deposition.
    (2013-04-25) Wang, Yan; David Aspnes, Co-Chair; John Muth, Co-Chair; Michael Paesler, Member; John Rowe, Member
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    Using Resonant Soft X-rays to Reveal Internal Organic Thin Film Structure.
    (2013-06-14) Gann, Eliot Hugh; Harald Ade, Chair; Michael Paesler, Member; Daniel Dougherty, Member; Charles Balik, Member

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