My name is Bartu Yaman and I am a physicist. During my undergraduate studies, I have taken courses on condensed matter physics, plasma physics and computational physics. I have attended the PRACE Summer Of HPC program last summer and worked on a gear geometry generation project using HPC with a team from University Of Ljubljana. During my junior and senior years, I decided to get introduced to research an joined a research group which models friction at the atomic scale. My research partner (another undergraduate Physics student) and I developed , from scratch, a fully-functional Python code suite that implements classical molecular dynamics with various choices of interatomic interaction, thermostats and dimensionality. Our goal is to understand the effects of computational choices, such as boundary conditions, made in modelling friction behavior of interfaces between two and three dimensional materials. In particular, we are interested in how such choices effect the phonon-phonon dissipation mechanisms. We are in the process of writing a manuscript, which we hope to submit within the coming few months. I have also developed a convolutional neural network specifically tuned for mineral classification on a rover at METU ROVER. Right now, I am working on my Bachelor’s thesis, that is ”Arbitrary State Generation Using Quantum Classical Autoencoders”.