Mahmudul Islam

Hi, I am a PhD candidate in materials science and engineering at Freitas Group. My research aims to improve understanding of the properties and structure of metal alloys. Specifically, I am examining the chemical short-range order (SRO) of high-entropy alloys (HEA) to better understand and harness valuable characteristics of HEAs, such as mechanical strength and hardness, wear and corrosion resistance, and radiation damage resistance. My current work involves large-scale molecular dynamics simulations using state-of-the-art machine-learning potentials to investigate chemical mixing during the plastic deformation of HEAs. I also developed a physics-based model, assisted by machine learning and information theory techniques, to interpret the simulation results. This work has yielded the first observation of nonequilibrium steady states of chemical order during plastic deformation of metals, an insight that I plans to apply in modeling various additive manufacturing approaches. My research in metallic alloys offers potential benefits in a wide range of industries, research disciplines, and spheres of technology development, from construction and automotive applications to aerospace, electronics, and energy production.