The Computational Science and Machine Learning Laboratory (CSML) is an interdisciplinary research group founded by Prof. Dr. Övgü C. Yelgel within the Department of Electrical and Electronics Engineering at Recep Tayyip Erdoğan University.
The group conducts in-depth theoretical/computational studies of low-dimensional systems, employing density functional theory (DFT) to examine their electronic and optical properties. In particular, the lab explores the photocatalytic behavior of two-dimensional materials in energy-related applications such as water splitting. Research efforts include the engineering of oxygen vacancies and the theoretical design of next-generation catalysts with improved performance.
CSML has expanded its research scope to include the integration of artificial intelligence and machine learning techniques with physics-based simulations. This approach not only enhances predictive accuracy in materials science but also accelerates computational workflows, especially in energy system modeling. Alongside these developments, the lab actively investigates forecasting applications in renewable energy systems using machine learning algorithms, aiming to improve efficiency, reliability, and decision-making in sustainable energy technologies.
By bridging data science with physics and engineering, CSML embodies a forward-looking research ethos. It provides a dynamic academic environment for early-career researchers and maintains strong collaborative ties both nationally and internationally.