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Inverse Material Design using Deep Convolutional Neural Networks and Ontology
Materials design is the process of tailoring materials with specific properties and performance characteristics to meet the particular needs of an application. It involves going back on the process-structure-property (PSP) ...
Towards metal additive manufacturing using alternate powders
Metal powders are predominantly produced using processes derived from atomization, which, apart from being highly energy intensive, are also inflexible and very material specific. These limitations are particularly acute ...
Insights into evaporation, atomization and precipitate formation of polymer droplets
Evaporation of polymer droplets is an active area of interest due to its applications in systems such as ink jet printing, thin films, spray combustors to name a few. Thus, understanding complex dynamics of evaporating ...
Efficient Learning of Koopman Structures for Model-Based Control of Nonlinear Robotic Systems
Identification of the dynamics of a complex robotic system accurately from first principles is challenging and often infeasible. Simplifying assumptions commonly made in modeling such systems often restrict their scope and ...
Studies on Two-Stage Air-Cooled Silica gel + Water Adsorption Cooling System
Adsorption cooling systems are evolving as promising complements to conventional vapor compression refrigeration (VCR) systems because of their ability to utilize low-grade heat sources such as industrial waste heat, solar, ...
Design and Development of Force Sensor for measurement of Tactile Friction
The sense of touch, along with the other senses, decides the perception of world around us. We touch, grip, and wear various products in our day-to-day life, be it the constant interaction we have with our mobile phones, ...