Laser Induced Breakdown Spectroscopy for Classification of High Energy Materials using Elemental Intensity Ratios

A simple, yet efficient, methodology is proposed to classify three high energy materials (HEMs) with diverse composition using nanosecond laser induced breakdown spectroscopic data. We have calculated O/N, N/H, and O/H elemental peaks ratios using a ratiometric method. The present work describes a novel way to construct 1D, 2D, and 3D classification model using the above mentioned ratios. Multivariate statistical methods are followed for construction of the classification models. A detailed procedure for classification of three different HEMs is presented here.Defence Science Journal, Vol. 64, No. 4, July 2014, pp.332-338, DOI:http://dx.doi.org/10.14429/dsj.64.474

Lyapunov-based backward-horizon adaptive stabilization

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57828/1/RaviACSP2003.pd

Generation of ultrashort electrical pulses in semiconductor waveguides

We report a novel device capable of generating ultrashort electrical pulses on a coplanar waveguide (CPW) by means of optical rectification. The device consists of a completely passive GaAs-based optical waveguide, which is velocity matched to a CPW line. Optical pulses are injected into the device and electrical pulses are collected at the output. Experimental results obtained in the laboratory show the potential of this device for high speed optical-to-electrical conversion

Instagram Influencers Credibility Dimensions and Purchase Intention of Followers: Empirical Evidence

The advent of SMIs has primarily altered the means business connect with their prospects and customers. Currently, many SNSs enables SMIs to endorse the products, share opinions, provide feedback, and communicate with their followers either publicly or privately. This research aims to determine the mediating effect of loyalty of followers towards the influencer and ascribed opinion leadership on SMIs dimensions (expertise, trustworthiness, and attractiveness) and purchase intention relationship from the perspective of Instagram users in India. To measure the objective, the study acquired responses from 250 Indian Instagram users in the age group of 18-24. Results indicated that the purchase intention of followers is positively influenced by expertise, trustworthiness, ascribed opinion leadership, and loyalty of followers towards the influencer dimensions. Here, ascribed opinion leadership and loyalty of followers towards the influencer acts as an effective arbitrator between SMIs dimensions (expertise, trustworthiness, and attractiveness) and purchase intention relationship. The study suggests that before engaging SMI to promote the brand, the companies should understand the perception of followers towards the influencer in terms of expertise, attractiveness, and trustworthiness dimensions

Femtosecond to nanosecond excited states dynamics of novel Corroles

We report a comprehensive photphysical investigation of some corrole molecules employing fs/nanosecond (ns) transient-absorption and time-resolved photoluminescence spectroscopy with support from the time-dependent density-functional theory calculations to understand their intramolecular charge transfer and polaron-absorption character

Solid-Phase Catalysis: A Biomimetic Approach toward Ligands on Dendritic Arms to Explore Recyclable Hydroformylation Reactions

Peer reviewed: YesNRC publication: Ye