The Computational Science and Machine Learning Laboratory
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Articles
A review of machine learning approaches for the discovery of thermoelectric materials
Yelgel Ö. C.
,
Yelgel C.
ADVANCES IN PHYSICS-X, vol.10, no.1, 2025 (SCI-Expanded, Scopus)
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, vol.105, no.24, pp.1695-1713, 2025 (SCI-Expanded, Scopus)
Electronic and photocatalytic characteristics of van der Waals MoSeTe/ GaSe Heterostructures
YELGEL C.
COMPUTATIONAL AND THEORETICAL CHEMISTRY, vol.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, vol.9, no.1, pp.130-146, 2025 (Peer-Reviewed Journal)
Engineering the electronic properties of MoTe<sub>2</sub> via defect control
Yelgel C.
,
Yelgel Ö. C.
SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS, vol.25, no.1, pp.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, vol.32, no.8, pp.1-14, 2024 (SCI-Expanded, Scopus)
Papers Published in Refereed Scientific Meetings
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, India, 10 - 11 February 2025, vol.11, no.11, pp.1-19, (Full Text)
Books & Book Chapters
The Role of Machine Learning Methods for Renewable Energy Forecasting
Yelgel Ö. C.
,
Yelgel C.
in: Advances in Energy Recovery and Efficiency Technologies, Basel I. Abed Ismail, Editor, IntechOpen, London, pp.1-36, 2024