Extracting signals in a small cross-section compared to the large cross-section of the background processes has been helped by introducing machine learning (ML) techniques for classification purposes. Classification algorithms in machine learning is a type of super vised learning where the outputs are constrained only to a limited set of values or classes such as signals or backgrounds. This thesis presents the classification of the produced heavy resonances from pp collision at the Large...

The field of “Mechanically Interlocked Molecules” (or MIMs) are newly emerging field in the Chemistry. Researchers have been preparing supramolecular structures using many methods especially molecular self-assembly process. Recent days, the bottom-top approach is most used method for the researchers in preparation of the huge structural architecture, where smaller molecules have used to form colossal structures which much more efficient compared to other methods. In this project, we have app...

In the first chapter, an efficient and simple catalytic method for the selective and partial reduction of aldazines using ruthenium catalyst [Ru(p-cymene)Cl2]2 has been accomplished. Under mild conditions, aldazines undergo the addition of pinacolborane in the presence of a ruthenium catalyst, which delivered N-boryl-Nbenzyl hydrazone products. Notably, the reaction is highly selective and results in exclusive mono-hydroboration and desymmetrization of symmetrical aldazines. Mechanistic ...

Dynamin family of proteins are a group of large GTPases which remodel their target membranes to cause membrane fission, fusion or tubulation.1,2 These proteins also perform other important cellular processes like endocytosis endoplasmic reticulum tubulation, cell plate formation and antiviral activity, etc. by localizing at their site of action. These proteins have properties like self-assembly and membrane binding, 3 which together determine the localization of these proteins and are regulat...