Anil Kunwar

Background

About Anil Kunwar

With my Bachelor's degree in Mechanical Engineering, Master's degree in Renewable Energy Engineering and Ph. D. in Materials Science, i have been studying about the science and engineering of materials and energy. During my Ph. D. in materials science, i have focused on metallic materials - Pb-free soldering materials used in the electronic packaging industries. My specific tasks have been to observe the experimental phenomena in liquid solder - solid substrate interfaces and design descriptive numerical models for growth of micro-bubbles and intermetallic compounds. This enthuses me to deepen my interest in computational materials science. Moreover, i would like to broaden my computational knowledge on computational fluid dynamics, composite materials, biomaterials and energy engineering. Currently, I am involved in heat and mass transfer modeling of laser soldering phenomena. Recently, I am learning to apply machine learning and inductive inference for studying materials informatics (materials discovery and design). I am particularly interested in (i) scale-bridging computational techniques at different length scales using machine-learning, and (ii) Physics informed neural networks (PINN).