Shape Based Characterization of Nanoparticles – A Fuzzy Mathematical Approach

Abstract

This article presents a systematic study of the effect of size and shape on the spectral response of individual nanoparticles (NPs). When developing NPs as catalysts, their shape is very important. For a certain volume of material, nanoparticles make the best catalysts when they have a large surface area. It is a challenge to find the shape that has the largest surface area for its volume. The main focus of this paper is the interesting change in properties of the materials due to increase surface area to its volume. The particle shape contours were measured by transmission electron microscope with high resolution. These TEM images are analyzed with image clustering techniques and generalized shape theory that results the computational indicators for shape, degree of atomic compactness of NPs. These types of characterization help the researchers in sizebased spectral tuning, biological labeling, and toxicity studies and suggest general protocols to address these problems.

Functionalization of transparent oxide resistive random-access memories for visible light photosensitivity

“…While electron beam irradiation releases several types of beams, such as SEs, BSEs, X-rays, and Auger electrons, SEMs primarily rely on SE and BSE detectors. A schematic of the device is given below in Fig 5 .7 [234].…”