Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Influence of Ho3+ doping on the temperature sensing behavior of Er3+–Yb3+ doped La2CaZnO5 phosphor

Abstract: In this paper, a series of Er3+/Yb3+ and Er3+/Yb3+/Ho3+ codoped La2CaZnO5 (LCZ) upconversion (UC) phosphors were synthesized by the combustion route. The UC emission from LCZ phosphors, codoped with fixed Er3+, Ho3+, and various Yb3+ concentrations has been investigated. The structural and upconversion properties of the synthesized phosphors were studied in detail. Under 980 nm laser excitation, the codoped samples showed green UC emission that consisted of three well-known emission bands centered at 522, 548 and 672 nm generated by the 2H11/2 → 4I15/2, 4S3/2 → 4I15/2 and 4F9/2 → 4I15/2 transitions of Er3+ ions, respectively. The emission intensities of these bands have been enhanced sufficiently on codoping of Yb3+ ions in the LCZ : Er3+ system. An effort has been presented to explain the enhancement on the basis of a power dependence study and an energy level diagram. The luminescence lifetimes of the green emission of the LCZ samples with different codoping were also recorded and incorporated to explain the energy transfer mechanism. The strong temperature dependence of the fluorescent intensity ratio between two green emissions makes the material suitable for temperature sensing purposes and it is also suitable up to high temperatures of 500 K. A relatively high-temperature sensor with good sensitivity 0.00625 K−1 was found from the observed results. An increment of 6% for the sensitivity is observed over the existing LCZ phosphor after co-doping with Ho3+. These results indicate that the Er3+/Ho3+/Yb3+ codoped LCZ material is an effective UC phosphor and may be a potential candidate for high-temperature sensors.

Dielectric Properties of ZnO-Based Nanocomposites and Their Potential Applications

Abstract: Energy storage devices constitute one of the research areas in recent years. Capacitors are commonly used for the storage of electrical energy. The current research is focusing on not only the improvement in energy density but also the materials which are environment friendly. Polymer composites are known to be technically essential materials owing to their wide range of applications. Enormous research has been devoted to zinc oxide- (ZnO-) based polymer nanocomposites, due to their extraordinary dielectric properties. This review article presents a detailed study of the dielectric properties of ZnO-based nanocomposites. The dielectric constant study includes the effect of transition metals and rare earth metals as a dopant in ZnO. This review gives an insight into the mechanism responsible for the variation of dielectric constant in ZnO nanocomposites due to various factors like size of nanoparticles, thickness of the thin film, operating frequency, doping concentration, and atomic number. The observations have been summarized to convey the mechanism and structural changes involved in the ZnO nanocomposites to the researchers. The deployment of biodegradable nanocomposite materials is expected to open an innovative way for their outstanding electronic applications as storage materials.

Performance evaluation of state-owned thermal power plants in northern India using DEA

Abstract: Electricity generation and supply plays a pivotal role in the commercialisation of any country. The objective of this paper is to evaluate the comparative interpretation of state-owned thermal power plants in northern India for the period of 2009-2014. The present work describes the case study conducted using Charnes, Cooper and Rhodes (CCR) and Banker, Charnes and Cooper (BCC) model of data envelopment analysis (DEA) on thermal power plants of Punjab and Haryana states. The exercise identified the relative efficiency trends fluctuating between 68.55% and 100% for BCC model while between 36.84% and 100% for CCR model. The outcomes demonstrate a significant level of association between two models with Spearman rank correlation coefficient value as 0.88. The present work outlines the use of DEA for efficiency assessment of power plants and enables the readers to take necessary steps as a managerial perspective for productive improvement.

A Study of Factors Affecting Online Buying Behavior: A Conceptual Model

Abstract: This paper examines the key factors which affect buying motives of consumers for online buying or E-shopping For this purpose different models from different research scholars have been studied One online consumer buying behavior motive model, (FFF Model), has been designed and suggested on the basis of existing review of literatures Future research could use our suggested factors (F), filtering elements (F) and then filtered buying behavior (F), (FFF Model) framework as a basis to empirically explore the factors affecting the online consumer purchasing process and to test the suggested model by the interested researchers in the relevant area of research