Devosmita Sen
Devosmita Sen is a PhD candidate in chemical engineering whose research aims to better understand and model the micro- and macroscopic properties of polymer networks, which are widely used in common products, from rubber tires to contact lenses, and are critical for cutting- edge applications such as drug delivery and soft robotics. As a MathWorks Fellow, Devosmita will expand her innovative approaches in modeling the topology of complex polymer networks to enable more accurate prediction of desirable properties such as elasticity and toughness. To that end, she is developing MATLAB-based numerical models to quantify network topologies and illuminate aspects such as the dynamic bond exchanges shaping that topology. She has also developed a novel algorithm to elucidate the correlation between cyclic network structures and nonlinear fracture properties and plans to design simulations to understand the fundamental mechanism behind network fracture. Devosmita’s work offers exciting new directions in the study of polymer networks to advance novel material design, and insights from her research may have useful applications in many network types, from biology to the internet to transportation.