Damla Eroğlu

Boğaziçi University — Turkey

Engineering · Physical Sciences

15h-index1.2kcitations59works3.02yr avg
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Research Topics

Advanced Battery Materials and Technologies(36), Advanced Battery Technologies Research(33), Advancements in Battery Materials(31), Electrodeposition and Electroless Coatings(9), Extraction and Separation Processes(3)

Publications59 total

Text-mining and bibliometric analyses for proton exchange membrane electrolyzers
International Journal of Hydrogen Energy·2026
High Throughput Screening of MOFs for Lithium-Sulfur Battery Cathodes
ECS Meeting Abstracts·2025
Electrodeposition of Nickel-Sulfur Composite Cathodes for Lithium-Sulfur Batteries
ECS Meeting Abstracts·2025
Actuation and Sensor Issues: Portable CPR Machine
2025
Key aspects of sustainable and high-performance K-ion batteries: A machine learning approach
Journal of Power Sources·2025· 1 cited
Key Aspects of Sustainable and High-Performance K-Ion Batteries: A Machine Learning Approach
SSRN Electronic Journal·2025Open Access
Machine learning for a sustainable energy future
Chemical Communications·2024· 8 citedOpen Access
High-Performance Lithium-Sulfur Batteries with Atomic V- and Co-Modified Ketjen Black-Sulfur Composite Cathode
ECS Meeting Abstracts·2024
Text Mining Analysis of Beyond Lithium-Ion Batteries
ECS Meeting Abstracts·2024
Modeling the dependence of electrolyte design on lithium-sulfur battery performance
Materials Research Bulletin·2024· 1 cited
Selection of ionic liquid electrolytes for high-performing lithium-sulfur batteries: An experiment-guided high-throughput machine learning analysis
Chemical Engineering Journal·2024· 18 cited
Metal‐Organic Framework/Graphene Nanoplatelet Composite Increases Rate Performance of Lithium–Sulfur Batteries
Energy Technology·2024· 5 cited
Electrochemical Impedance Spectroscopy of Li‐S Batteries: Effect of Atomic Vanadium‐ and Cobalt‐Modified Ketjen Black‐Sulfur Cathode, Sulfur Loading, and Electrolyte‐to‐Sulfur Ratio
ChemElectroChem·2024· 6 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
(Invited) Modeling the Dependence of the Lithium-Sulfur Battery Performance on the Materials and Cell Design Factors
ECS Meeting Abstracts·2023
Atomic V- and Co-Modified Ketjen Black–Sulfur Composite for High-Performance Lithium–Sulfur Batteries
ACS Applied Energy Materials·2023· 12 citedOpen Access
Influence of Sulfur Loading on Lithium‐Sulfur Battery Performance for Different Cathode Carbon Types
ChemistrySelect·2023· 7 citedOpen Access
Performance analysis of Na-ion batteries by machine learning
Journal of Power Sources·2022· 44 cited
Features of cycling of lithium-sulfur cells with electrolytes based on sulfolane solutions of LiPF6 and LiBF4
Journal of Power Sources·2022· 12 cited
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Frequent Co-authors

Aysegul Kilic(13), Ramazan Yıldırım(12), Alan C. West(7), P. Somasundaran(5), Kevin G. Gallagher(4), Burcu Oral(4), Nisa Erisen(4), Annamaria Vilinska(4), Kagan Yüksel(4), H. Merve Bilal(3), Hira Fazal(3), Nazakat Ali(3), Jiantao Zai(3), Xuefeng Qian(3), Е. В. Карасева(3), Elena Kuzmina(3), В. С. Колосницын(3), Çağla Odabaşı(2), Nur Ber Emerce(2), Burak Tekin(2)