Automated credit assessment framework using ETL process and machine learning.

In the current business scenario, real-time analysis of enterprise data through Business Intelligence (BI) is crucial for supporting operational activities and taking any strategic decision. The automated ETL (extraction, transformation, and load) process ensures data ingestion into the data warehouse in near real-time, and insights are generated through the BI process based on real-time data. In this paper, we have concentrated on automated credit risk assessment in the financial domain based on the machine learning approach.

Hydrophobic zeolite modification for in situ peroxide formation in methane oxidation to methanol.

Selective partial oxidation of methane to methanol suffers from low efficiency. Here, we report a heterogeneous catalyst system for enhanced methanol productivity in methane oxidation by in situ generated hydrogen peroxide at mild temperature (70°C). The catalyst was synthesized by fixation of AuPd alloy nanoparticles within aluminosilicate zeolite crystals, followed by modification of the external surface of the zeolite with organosilanes.

Dry reforming of methane to syngas: a potential alternative process for value added chemicals-a techno-economic perspective.

During the past decade, there has been increasing global concern over the rise of anthropogenic CO emission into the Earth's atmosphere (J Air Waste Manage Assoc 53:645-715, 2003). The utilization of CO to produce any valuable product is need of the hour. The production of syngas from CO and CH seems to be one of the promising alternatives in terms of industrial utilization, as it offers several advantages: (a) mitigation of CO, (b) transformation of natural gas and CO into valuable syngas, and (c) producing syngas with H/CO ratio 1 which may further be used for the production of valuable petrochemicals (J Air Waste Manage Assoc 53:645-715, 2003).

Pathways from disordered to ordered nanostructures from defect guided dewetting of ultrathin bilayers.

Transitions from spinodal to pattern-guided dewetting of a bilayer of ultrathin films (<10nm) confined between a pair of patterned surfaces have been explored employing molecular dynamic (MD) simulations. The physical or chemical defects of different sizes and shapes are decorated on the confining substrates by either removal or addition of multiple layers of similar or dissimilar atoms. The simulations are performed to identify the transition from spinodal pathway to the heterogeneous nucleation route, with the variation in the size of the substrate patterns.

Self-organized pathways to nanopatterns exploiting the instabilities of ultrathin confined bilayers.

Self-organized interfacial instabilities of an ultrathin bilayer confined between a pair of rigid surfaces is explored. The bilayers are classified based on the macroscopic dewetting behaviors of the liquid films sandwiched between a pair of confining surfaces having surface energy higher or lower than the liquid films. Linear and nonlinear analyses employing the governing equations originating from the continuum description together with molecular dynamics (MD) simulations unveil the salient spatiotemporal features of the dewetting process.

Electric field induced instabilities of thin leaky bilayers: pathways to unique morphologies and miniaturization.

Charge leakage of the weakly conducting liquid layers in a thin bilayer can engender interesting interfacial instabilities when exposed to an external electrostatic field. A general linear stability analysis including the full descriptions of the Maxwell stresses uncovers the key short to long-wave features of the instabilities of the bilayers composed of purely dielectric films, leaky dielectric films, and a combination of leaky and dielectric films. The study highlights that for the leaky bilayers the additional electrostatic stress due to the presence of free charges at the interface(s) can significantly reduce the length scale to enforce pattern miniaturization.

Polymer-encapsulated metal nanoparticles: optical, structural, micro-analytical and hydrogenation studies of a composite material.

A single-step synthesis route is described for the preparation of a metal-polymer composite in which palladium acetate and meta-amino benzoic acid were used as the precursors for palladium nanoparticles and poly(meta-amino benzoic acid) (PABA). The palladium nanoparticles were found to be uniformly dispersed and highly stabilized throughout the macromolecule matrix. The resultant composite material was characterized by means of different techniques, such as IR and Raman spectroscopy, which provided information regarding the chemical structure of the polymer, whereas electron microscopy images yielded information regarding the morphology of the composite material and the distribution of the metal particles in the composite material.