A5021488076- Carbon Nanotubes in Composites
- Molecular Junctions and Nanostructures
- Graphene research and applications
- Force Microscopy Techniques and Applications
- Mechanical and Optical Resonators
- Integrated Circuits and Semiconductor Failure Analysis
- Boron and Carbon Nanomaterials Research
- Nanotechnology research and applications
- Nanowire Synthesis and Applications
- Advanced biosensing and bioanalysis techniques
- Advanced Sensor and Energy Harvesting Materials
- Quantum Dots Synthesis And Properties
- Electrochemical sensors and biosensors
- Fullerene Chemistry and Applications
- Metal and Thin Film Mechanics
- Industrial Vision Systems and Defect Detection
- Organic Electronics and Photovoltaics
- Chalcogenide Semiconductor Thin Films
- MXene and MAX Phase Materials
- Photonic Crystals and Applications
- Thin-Film Transistor Technologies
- Advancements in Battery Materials
- Graphene and Nanomaterials Applications
- Electrophoretic Deposition in Materials Science
- Surface and Thin Film Phenomena
University of New Hampshire
2020
Mount Holyoke College
2016
Michigan Technological University
2007-2012
Engineering (Italy)
2010
Novel PMMA–STO–CNT matrices were created by opened-tip vertically aligned multiwalled carbon nanotubes (VA-MWCNTs) with conformal coatings of strontium titanate (STO) and poly(methyl methacrylate) (PMMA). Emission threshold 0.8 V/μm was demonstrated, about 5-fold lower than that the as-grown VA-MWCNTs. This obtained after considering related band structures under perspective work functions tunneling width as a function STO thickness. We showed there is an optimum thickness to effectively...
We have created PMMA−CNT matrices by embedding opened-tip vertically aligned multiwalled carbon nanotubes (VA-MWCNTs) with poly(methyl methacrylate) (PMMA). These are excellent electron field emitters an emission threshold of 1.675 V/μm, more than 2-fold lower that the as-grown sample. In addition, site density from these is high, merely filling up entire sample surface. Emission stability test at ∼1.35 mA/cm2 was performed continuously for 40 h no significant degradation. On basis our...
The number of graphene shells on carbon nanotubes (CNTs) can be rationally controlled to yield high-density, vertically aligned single- and double-walled CNTs. This was obtained by thermal chemical vapor deposition at 700 °C without the use etching agents such as water, oxygen, or plasma. key factors for this success are dissociative adsorption acetylene (C2H2) molecules subnanometer thickness control Al/Fe/Mo trilayer films. We propose that an Al concave meniscus confines actual growth...
Low-temperature growth of indium tin oxide (ITO) nanowires (NWs) was obtained on catalyst-free amorphous glass substrates at 250 °C by Nd:YAG pulsed-laser deposition. These ITO NWs have branching morphology as grown in Ar ambient. As suggested scanning electron microscopy (SEM) and high-resolution transmission (HRTEM), our the tendency to grow vertically outward from substrate surface, with (400) plane parallel longitudinal axis nanowires. are low electrical resistivity (1.6 × 10−4 Ω cm)...
Nanotubes have significant portions of their atoms located at the surfaces and represent future biological devices. With such small dimensions, sensitivities applications previously impossible are being made real. Not all nanomaterials currently same level proficiency, however. Carbon nanotubes a mature, easily grown controlled nanostructure, but boron nitride zinc oxide still coming into own. Yet progress in three species is making easier than before.
Nanotubes represent a unique class of materials in which all atoms are located near the surface. Since electrons flowing through nanotubes confined surface, attractive for sensing biological and chemical molecules. In addition, their tubular structures enable nanofluidic devices that useful novel applications. this paper, we will discuss current applications latest advancements on growth carbon (CNTs), boron nitride (BNNTs), ZnO (ZnONTs). First, CNT is highly controlled by regulating...
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Identifying and classifying defects in scanning probe microscopy (SPM) images is an important task that tedious to perform by hand. In this paper we present the defect identification statistics toolbox (DIST), image processing for identifying analyzing atomic SPM images. DIST combines automation with user input accurately efficiently identify automatically compute critical statistics. We describe using interactive processing, generating contour plots isolating extrema from background,...