Indian Institute of Technology Indore

About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.

Computational Screening for ORR Activity of 3d Transition Metal Based M@Pt Core–Shell Clusters

Abstract: Core–shell nanoparticles are widely recognized as potential catalysts for oxygen reduction reaction (ORR) occurring at the cathode of proton exchange membrane (PEM) fuel cells. A comprehensive analysis of ORR activity of low-cost core–shell nanoparticles is still lacking from previous screening studies. To address this, a complete series of 3d metal based platinum core–shell nanoclusters are designed and scrutinized for ORR activity as well as stability. The adsorption behavior of ORR intermediates is observed to highly depend on the core–shell combination. The analysis of ORR energetics along the associative pathway shows a nonuniform trend in free energy changes and rate-determining steps. As compared to earlier reports, we show that a single intermediate binding energy is not enough for interpreting the ORR activity trends. Ti, Ni, and Cu based core–shell clusters are observed to have elevated activity as compared to bare platinum nanocluster and periodic platinum (111) surface. The origin of activity differences is explained via structural, charge transfer, and electronic structure analyses.

On Performance of Energy Harvested Cooperative NOMA Under Imperfect CSI and Imperfect SIC

Abstract: With the advent of 5G and the need for energy-efficient massively connected wireless networks, in this work, we consider an energy harvesting (EH) based multi-relay downlink cooperative non-orthogonal multiple access (NOMA) system with practical constraints. The base station serves NOMA users with the help of decode-and-forward based multiple EH relays, where relays harvest the energy from the base station's radio frequency. A relay is selected from the multiple $K$ -relays by using a partial relay selection protocol. The system is considered to operate in half-duplex mode over a generalized independent and identical Nakagami $-m$ fading channel. The closed-form expression of outage probability and ergodic rate are derived for users, under the assumption of imperfect channel state information (CSI) and imperfect successive interference cancellation (SIC) at the receiver node. Expression of outage probability and ergodic rate for two users under the assumption of perfect CSI and perfect SIC are also presented. Further, the asymptotic expression for the outage probability is also shown. The derived analytical expressions are verified through Monte-Carlo simulations.

Carboxyl-Functionalized Carbon Dots as Competent Visible Light Photocatalysts for Aerobic Oxygenation of Alkyl Benzenes: Role of Surface Functionality

Abstract: Carbonaceous nanolights, carbon dots (CDs), are attractive alternatives to semiconducting quantum dots owing to their tunable optoelectronic properties, photostability, biocompatibility, water solu...

An improved online paradigm for screening of diabetic patients using rr-interval signals

Abstract: Diabetes Mellitus (DM) which is a chronic disease and difficult to cure. If diabetes is not treated in a timely manner, it may cause serious complications. For timely treatment, an early detection of the disease is of great interest. Diabetes can be detected by analyzing the RR-interval signals. This work presents a methodology for classification of diabetic and normal RR-interval signals. Firstly, empirical mode decomposition (EMD) method is applied to decompose the RR-interval signals in to intrinsic mode functions (IMFs). Then five parameters namely, area of analytic signal representation (AASR), mean frequency computed using Fourier-Bessel series expansion (MFFB), area of ellipse evaluated from second-order difference plot (ASODP), bandwidth due to frequency modulation (BFM) and bandwidth due to amplitude modulation (BAM) are extracted from IMFs obtained from RR-interval signals. Statistically significant features are fed to least square-support vector machine (LS-SVM) classifier. The three kernels namely, Radial Basis Function (RBF), Morlet wavelet, and Mexican hat wavelet kernels have been studied to obtain the suitable kernel function for the classification of diabetic and normal RR-interval signals. In this work, we have obtained the highest classification accuracy of 95.63%, using Morlet wavelet kernel function with 10-fold cross-validation. The classification system proposed in this work can help the clinicians to diagnose diabetes using electrocardiogram (ECG) signals.

Safranin O-functionalized cuboid mesoporous silica material for fluorescent sensing and adsorption of permanganate

Abstract: Incorporation of dual functions, i.e., sensing and adsorption, into one single organic-inorganic hybrid material for the detection and removal of toxic permanganate (MnO4-) ions is of great importance, representing a challenging and new task in the design and application of new functional materials. However, most of the reported materials display only one function as either sensing probes or adsorbents. In this work, a fluorescent cuboid mesoporous silica-based hybrid material (SiO2@SFNO) is first prepared by the covalent coupling of a new safranin O-based fluorophore (2,8-dimethyl-5-phenyl-3,7-bis(3-(3-(triethoxysilyl)propyl)ureido)phenazin-5-ium chloride) (SFNO) and newly-made cuboid mesoporous silica, which showed selective dual-functional activities towards MnO4- and green emission at 575 nm with a long-range excitation wavelength that is suitable for bio-imaging application. The design of this SiO2@SFNO material is based on the position of -NHCONH- groups, which are mainly responsible for the strong and selective coordination with MnO4-. SiO2@SFNO is responsive to MnO4- at parts per billion (67 ppb) level; it also displays high adsorption ability (292 mg g-1) to MnO4- in aqueous solutions. The fluorescence responses of MnO4-in vivo (limnodrilus claparedianus and zebrafish) demonstrate the possibility of further application in biology. Interestingly, this SiO2@SFNO material is also capable of monitoring trace amounts of Hg2+ and Cu2+ in living organisms, holding great potential in bio-related applications.