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Nathan S. Lewis
Researcher at California Institute of Technology
Publications - 730
Citations - 72550
Nathan S. Lewis is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Semiconductor & Silicon. The author has an hindex of 112, co-authored 720 publications receiving 64808 citations. Previous affiliations of Nathan S. Lewis include Lawrence Berkeley National Laboratory & Massachusetts Institute of Technology.
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An Analysis of Charge Transfer Rate Constants for Semiconductor/Liquid Interfaces
TL;DR: In this article, a unified treatment of the kinetics of the various charge transfer experiments and estimates of the timescales that can be expected for these reactions are presented, as well as their design and kinetic interpretation.
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Electrical characteristics and chemical stability of non-oxidized, methyl-terminated silicon nanowires.
TL;DR: Silicon nanowires modified by covalent Si-CH3 functionality, with no intervening oxide, show atmospheric stability, high conductance values, low surface defect levels, and allow for the formation of air-stable Si NW Field-Effect Transistors (FETs) having on-off ratios in excess of 105 over a relatively small gate voltage swing.
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Thin Films of n-Si/Poly-(CH3)3Si-Cyclooctatetraene: Conducting-Polymer Solar Cells and Layered Structures
Michael J. Sailor,Eric J. Ginsburg,Christopher B. Gorman,Amit Kumar,Robert H. Grubbs,Nathan S. Lewis +5 more
TL;DR: The optical and electronic properties of thin films of the solution-processible polymer poly-(CH3)3Si-cyclooctatetraene are presented and an organic polymer analog of a metal/insulator/metal capacitor has been constructed with the latter method.
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Chemical studies of the passivation of GaAs surface recombination using sulfides and thiols
TL;DR: In this article, the steady-state photoluminescence of (100)-oriented GaAs has been studied using x-ray photoelectron spectroscopy and steadystate photodynamic properties of GaAs surfaces exposed to inorganic and organic donors.
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Quantitative Study of the Resolving Power of Arrays of Carbon Black−Polymer Composites in Various Vapor-Sensing Tasks
Brett J. Doleman,Mark C. Lonergan,Mark C. Lonergan,Erik J. Severin,Thomas P. Vaid,Nathan S. Lewis +5 more
TL;DR: A statistical metric, based on the magnitude and standard deviations along linear projections of clustered array response data, was utilized to facilitate an evaluation of the performance of detector arrays in various vapor classification tasks.