N
Nicholas Winograd
Researcher at Pennsylvania State University
Publications - 439
Citations - 19157
Nicholas Winograd is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Ion & Secondary ion mass spectrometry. The author has an hindex of 68, co-authored 438 publications receiving 18319 citations. Previous affiliations of Nicholas Winograd include Case Western Reserve University & University of Duisburg-Essen.
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Rh atom ejection from keV ion‐bombarded p(2×2)O/Rh{111}: Adsorption site and coverage determination from angle‐resolved desorption measurements
TL;DR: In this paper, the authors measured the angular distributions of Rh atoms desorbed by energetic ion bombardment of an oxygen covered Rh{111} surface using a multiphoton resonance ionization (MPRI) detection technique.
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The effects of preadsorbed CO on the chemistry of CH3 and CH3I on Pd{111}
J.-J. Chen,Nicholas Winograd +1 more
TL;DR: In this paper, the thermal decomposition of iodomethane on clean, I-precovered and CO-pre-covered Pd{111} was investigated using thermal desorption spectroscopy (TDS) and X-ray photoelectron spectrography (XPS).
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CO2 Cluster Ion Beam, an Alternative Projectile for Secondary Ion Mass Spectrometry
TL;DR: The prospects of employing CO2 as a simple alternative to argon in gas cluster ion beams for SIMS experiments are reported on and the imaging resolution employs CO2 cluster projectiles is improved by more than a factor of two.
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Molecular depth profiling of buried lipid bilayers using C(60)-secondary ion mass spectrometry.
TL;DR: An organic delta layer system made of alternating Langmuir-Blodgett multilayers of barium arachidate and barium dimyristoyl phosphatidate was constructed to elucidate the factors that control depth resolution in molecular depth profile experiments, and depth resolution was found to be significantly improved at low temperature.
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An implicit finite difference method simulation of spectro-electrochemical working curves
TL;DR: In this article, the problem of digitally simulating concentration profiles of electrogenerated species is examined by an implicit finite difference method, and the treatment is developed in a general manner so that a variety of electrochemical problems can be solved with a minimum alteration in existing explicit approaches.