Yayınlar

Makaleler

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, cilt.105, sa.24, ss.1695-1713, 2025 (SCI-Expanded, Scopus)

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, Scopus)

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

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

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) Sürdürülebilir Kalkınma

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, Scopus)

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, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler

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)

Kitap & Kitap Bölümleri

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