The chemical industry has become increasingly aware of environmental concerns over the use of volatile and hazardous organic solvents to synthesize commercial polymers. Attractive properties of supercritical fluids make ...

Polystyrene has often been functionalized for its use in various commercial applications, but most often the reactive functional groups have been substituted on its benzene ring. In the present work, epoxy functional groups ...

Pore forming toxins are a class of proteins secreted from a wide variety of pathogens. These toxins are implicated in several diseases such as cholera, anthrax, tuberculosis and food poisoning. The toxin proteins are ...

Digital Human Models (DHMs) are representations of humans in virtual environments that have applications in diverse disciplines. In the context of engineering design, DHMs are used to assess if a proposed design satisfies ...

The remarkable efficacy with which normal surface mass transpiration (blowing and suction) alters a given base flow to achieve a desired predefined objective has motivated several investigations on drag reduction, ...

A pragmatic method for designing compliant mechanisms is developed in this thesis, by selecting among existing mechanisms one that may be modified as required. This method complements existing techniques by answering ...

We have studied precipitate growth and coarsening in ternary alloys using two different phase held models. The first one is a ternary extension of the classical Cahn-Hilliard (C-H) model in which both the phases are ...

The idea of time series forecasting techniques is that the past has certain information about future. So, the question of how the information is encoded in the past can be interpreted and later used to extrapolate events ...

A theory which gives a unified picture of (1) the bubble collapse, (ii) the transmission of the collapse pressure, and (iii) the deformation of the material due to the work done by the bubble is proposed, incorporating ...

This work develops a convolutional neural network (CNN) based surrogate model for simultaneous multi-physical property prediction from the binary images of fibre-reinforced composites representative volume elements (RVEs). ...