The Computational Science and Machine Learning Laboratory

Welcome to the Computational Science and Machine Learning Laboratory (CSML-RTEU). We conduct interdisciplinary research in computational materials science, condensed matter physics, and AI‑driven modeling. Our goal is to answer fundamental scientific questions while advancing innovative solutions for materials science and renewable energy technologies. Meet our team, explore our projects, and connect with us to discuss collaboration opportunities.

Lab Members
Head: Prof. Övgü C. Yelgel
Co-Head: Assoc. Prof. Celal Yelgel
Researcher: Melisa Türker (M.Sc. Student)


Son Eklenen Yayınlar

A review of machine learning approaches for the discovery of thermoelectric materials

YELGEL Ö. C., YELGEL C.
ADVANCES IN PHYSICS-X, cilt.10, sa.1, 2025 (SCI-Expanded)

The investigation of electronic and photocatalytic characteristics of van der Waals WSeTe/GaSe heterostructures: the frist principles study

YELGEL C., YELGEL Ö. C.
PHILOSOPHICAL MAGAZINE, 2025 (SCI-Expanded)

Electronic and photocatalytic characteristics of van der Waals MoSeTe/ GaSe Heterostructures

YELGEL C.
COMPUTATIONAL AND THEORETICAL CHEMISTRY, cilt.1249, 2025 (SCI-Expanded)

Long-Term Prediction of Solar Panel Power Output with Artificial Intelligence Techniques

türker m., YELGEL C., YELGEL Ö. C.
Ejons International Journal on Mathematic, Engineering and Natural Sciences, cilt.9, sa.1, ss.130-146, 2025 (Hakemli Dergi)

LONG-TERM PREDICTION OF SOLAR PANEL POWER OUTPUT WITH ARTIFICIAL INTELLIGENCE TECHNIQUES

Türker M., Yelgel C., Yelgel Ö. C.
EJONS 18th INTERNATIONAL CONGRESS "Artificial Intelligence Trends: Theory to Practice", New Delhi, Hindistan, 10 - 11 Şubat 2025, cilt.11, sa.11, ss.1-19, (Tam Metin Bildiri)

The Role of Machine Learning Methods for Renewable Energy Forecasting

Yelgel Ö. C., Yelgel C.
Advances in Energy Recovery and Efficiency Technologies, Basel I. Abed Ismail, Editör, IntechOpen, London, ss.1-36, 2024

Defect dependent electronic properties of WTe<sub>2</sub>: a first-principles study

Yelgel C., Yelgel Ö.
MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, cilt.32, sa.8, ss.1-14, 2024 (SCI-Expanded)

Engineering the electronic properties of MoTe<sub>2</sub> via defect control

Yelgel C., Yelgel Ö. C.
SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS, cilt.25, sa.1, ss.2388502-2388512, 2024 (SCI-Expanded)