Muratahan Aykol

Toyota Motor Corporation (Switzerland) — Switzerland

Materials Science · Physical Sciences

40h-index14.8kcitations136works5.52yr avg
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Research Topics

Machine Learning in Materials Science(60), Advancements in Battery Materials(36), Advanced Battery Materials and Technologies(25), X-ray Diffraction in Crystallography(20), Advanced Battery Technologies Research(15)

Publications136 total

Tailored Ordering Enables High‐Capacity Cathode Materials
Advanced Energy Materials·2025Open Access
Intel 18A Platform Technology Featuring RibbonFET (GAA) and PowerVia for Advanced High-Performance Computing
2025· 5 cited
Predicting emergence of crystals from amorphous precursors with deep learning potentials
Nature Computational Science·2024· 10 citedOpen Access
Efficient Exploratory Synthesis of Quaternary Cesium Chlorides Guided by In Silico Predictions
Journal of the American Chemical Society·2024· 4 citedOpen Access
Lithium Transport in Crystalline and Amorphous Cathode Coatings for Li-Ion Batteries
Chemistry of Materials·2024· 6 cited
Generative Hierarchical Materials Search
arXiv (Cornell University)·2024· 1 citedOpen Access
Generative Hierarchical Materials Search
2024· 1 cited
How the AI-assisted discovery and synthesis of a ternary oxide highlights capability gaps in materials science
Chemical Science·2024· 17 citedOpen Access
Scaling deep learning for materials discovery
Nature·2023· 989 citedOpen Access
Accurate Prediction of Experimental Band Gaps from Large Language Model-Based Data Extraction
arXiv (Cornell University)·2023· 7 citedOpen Access
Predicting emergence of crystals from amorphous matter with deep learning
arXiv (Cornell University)·2023· 3 citedOpen Access
Nature of the Amorphous–Amorphous Interfaces in Solid-State Batteries Revealed Using Machine-Learned Interatomic Potentials
Chemistry of Materials·2023· 15 cited
Nature of the amorphous-amorphous interfaces in solid-state batteries revealed using machine-learned interatomic potentials
2023· 3 citedOpen Access
Intel PowerVia Technology: Backside Power Delivery for High Density and High-Performance Computing
2023· 59 cited
Computer-assisted discovery and rational synthesis of ternary oxides
2023· 4 citedOpen Access
Nature of the amorphous-amorphous interfaces in solid-state batteries revealed using machine-learned interatomic potentials
2023Open Access
Protective cathode coatings for lithium-ion batteries
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2023Open Access
Principles of the Battery Data Genome
Joule·2023· 2 citedOpen Access
Author Correction: Active learning for accelerated design of layered materials
npj Computational Materials·2022Open Access
Principles of the Battery Data Genome
Joule·2022· 90 citedOpen Access
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Frequent Co-authors

Chris Wolverton(20), Joseph H. Montoya(11), Patrick K. Herring(9), Kristin A. Persson(8), Santosh K. Suram(8), Soo Kim(7), Vinay I. Hegde(7), Jens S. Hummelshøj(7), Scott Kirklin(6), Richard D. Braatz(5), Chirranjeevi Balaji Gopal(5), Abraham Anapolsky(5), James E. Saal(4), Brian D. Storey(4), Linda Hung(4), Kristen Severson(3), Peter M. Attia(3), Zi Yang(3), Martin Z. Bazant(3), William C. Chueh(3)