Burcu Oral

Energy Technologies Institute — United Kingdom

Energy · Physical Sciences

9h-index350citations23works10.92yr avg
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Research Topics

Advanced Photocatalysis Techniques(7), Advanced Battery Technologies Research(7), Advancements in Battery Materials(6), Advanced Battery Materials and Technologies(4), Machine Learning in Materials Science(3)

Publications23 total

Thermal management and performance optimization in battery packs via NTC sensor positioning
Applied Thermal Engineering·2025
Solid-State Batteries: Chemistry, Battery, and Thermal Management System, Battery Assembly, and Applications—A Critical Review
Batteries·2025· 8 citedOpen Access
Trends and emerging directions in battery manufacturing: A comprehensive bibliometric analysis
Journal of Energy Storage·2025
Using machine learning to guide the synthesis of supported palladium catalysts with desired palladium dispersion
Journal of Catalysis·2025· 3 cited
Machine learning analysis of photocatalytic glycerol reforming for hydrogen production
International Journal of Hydrogen Energy·2025· 5 cited
Thermal Management and Performance Optimization in Battery Packs Via Ntc Sensor Positioning
SSRN Electronic Journal·2025Open Access
Machine learning for a sustainable energy future
Chemical Communications·2024· 8 citedOpen Access
Predictive Modeling and SHAP (SHapley Additive ExPlanations) Analysis for Enhancing Natural Dye‐Sensitized Solar Cell Performance
Solar RRL·2024· 12 citedOpen Access
Machine Learning–Based Analysis of Sustainable Biochar Production Processes
BioEnergy Research·2024· 4 cited
Text Mining Analysis of Beyond Lithium-Ion Batteries
ECS Meeting Abstracts·2024
Machine learning-based exploration of biochar for environmental management and remediation
Journal of Environmental Management·2024· 28 cited
Halide Perovskites for Photoelectrochemical Water Splitting and CO<sub>2</sub> Reduction: Challenges and Opportunities
ACS Catalysis·2024· 58 citedOpen Access
Analysis of photocatalytic CO<sub>2</sub> reduction over MOFs using machine learning
Journal of Materials Chemistry A·2024· 26 cited
Trends and Emerging Directions in Battery Manufacturing: A Comprehensive Bibliometric Analysis
SSRN Electronic Journal·2024Open Access
Phytochemicals in Pancreatic Cancer Treatment: A Machine Learning Study
ACS Omega·2023· 4 citedOpen Access
Machine learning for beyond Li-ion batteries: Powering the research
Journal of Energy Storage·2023· 34 cited
Assessment of Na-Ion Battery Performance Using Machine Learning
ECS Meeting Abstracts·2023
Machine learning analysis of catalytic CO2 methanation
International Journal of Hydrogen Energy·2023· 37 cited
Performance analysis of Na-ion batteries by machine learning
Journal of Power Sources·2022· 44 cited
Machine learning analysis of gas phase photocatalytic CO2 reduction for hydrogen production
International Journal of Hydrogen Energy·2022· 34 cited
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Frequent Co-authors

Ramazan Yıldırım(18), Damla Eroğlu(5), Aysegul Kilic(3), Dilara Saadetnejad(3), M. Erdem Günay(3), Beyza Yılmaz(2), Burak Tekin(2), Elif Can(2), Ahmet Coşgun(2), Çağla Odabaşı(2), Burak Evyapan(2), Aybüke Leba Akman(2), Krzysztof Bieńkowski(1), Renata Solarska(1), Linh Trinh(1), Justyna Widera-Kalinowska(1), Basheer Al‐Anesi(1), Maning Liu(1), G. Krishnamurthy Grandhi(1), Paola Vivo(1)