Muratahan Aykol

Toyota Research Institute 
computational materials science, DFT, batteries, machine learning
"Muratahan Aykol"
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Hegde VI, Aykol M, Kirklin S, et al. (2020) The phase stability network of all inorganic materials. Science Advances. 6: eaay5606
Aykol M, Hegde VI, Hung L, et al. (2019) Network analysis of synthesizable materials discovery. Nature Communications. 10: 2018
Aykol M, Kim S, Hegde VI, et al. (2016) High-throughput computational design of cathode coatings for Li-ion batteries. Nature Communications. 7: 13779
Kim S, Noh JK, Aykol M, et al. (2015) Layered-Layered-Spinel Cathode Materials Prepared by a High-Energy Ball-Milling Process for Lithium-ion Batteries. Acs Applied Materials & Interfaces
Yu Y, Aykol M, Wolverton C. (2015) Reaction thermochemistry of metal sulfides with GGA and GGA+U calculations Physical Review B - Condensed Matter and Materials Physics. 92
Kim S, Aykol M, Wolverton C. (2015) Surface phase diagram and stability of (001) and (111) LiM n2 O4 spinel oxides Physical Review B - Condensed Matter and Materials Physics. 92
Aykol M, Kim S, Wolverton C. (2015) Van der Waals Interactions in Layered Lithium Cobalt Oxides Journal of Physical Chemistry C. 119: 19053-19058
Jaber-Ansari L, Puntambekar KP, Kim S, et al. (2015) Suppressing Manganese Dissolution from Lithium Manganese Oxide Spinel Cathodes with Single-Layer Graphene Advanced Energy Materials
Cho JH, Aykol M, Kim S, et al. (2014) Controlling the intercalation chemistry to design high-performance dual-salt hybrid rechargeable batteries. Journal of the American Chemical Society. 136: 16116-9
Aykol M, Wolverton C. (2014) Local environment dependent GGA+U method for accurate thermochemistry of transition metal compounds Physical Review B - Condensed Matter and Materials Physics. 90
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