Materials Informatics

Materials informatics have revolutionized materials science by accelerating the pace of materials discovery, reducing empirical trial and error, and enabling the tailored design of materials with specific properties. Currently, my research involves using machine and deep learning to predict the antibacterial activity of silver nanoparticles. The study is the first of its kind and contributes to the field by reducing the effort and resource consumption in laboratories. I later aim to add a wet-lab component to the study and create a deep learning model to obtain more sophisticated results.