Muratahan Aykol
Muratahan Aykol
Toyota Research Institute
Verified email at tri.global
Title
Cited by
Cited by
Year
Materials design and discovery with high-throughput density functional theory: the open quantum materials database (OQMD)
JE Saal, S Kirklin, M Aykol, B Meredig, C Wolverton
Jom 65 (11), 1501-1509, 2013
6622013
The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies
S Kirklin, JE Saal, B Meredig, A Thompson, JW Doak, M Aykol, S Rühl, ...
npj Computational Materials 1 (1), 1-15, 2015
3452015
Accelerating the discovery of materials for clean energy in the era of smart automation
DP Tabor, LM Roch, SK Saikin, C Kreisbeck, D Sheberla, JH Montoya, ...
Nature Reviews Materials 3 (5), 5-20, 2018
1362018
High-throughput computational design of cathode coatings for Li-ion batteries
M Aykol, S Kim, VI Hegde, D Snydacker, Z Lu, S Hao, S Kirklin, D Morgan, ...
Nature communications 7 (1), 1-12, 2016
842016
Thermodynamic Aspects of Cathode Coatings for Lithium‐Ion Batteries
M Aykol, S Kirklin, C Wolverton
Advanced Energy Materials 4 (17), 1400690, 2014
772014
Van der Waals interactions in layered lithium cobalt oxides
M Aykol, S Kim, C Wolverton
The Journal of Physical Chemistry C 119 (33), 19053-19058, 2015
742015
Local environment dependent GGA+ U method for accurate thermochemistry of transition metal compounds
M Aykol, C Wolverton
Physical Review B 90 (11), 115105, 2014
712014
Controlling the intercalation chemistry to design high-performance dual-salt hybrid rechargeable batteries
JH Cho, M Aykol, S Kim, JH Ha, C Wolverton, KY Chung, KB Kim, BW Cho
Journal of the American Chemical Society 136 (46), 16116-16119, 2014
662014
Atomate: A high-level interface to generate, execute, and analyze computational materials science workflows
K Mathew, JH Montoya, A Faghaninia, S Dwarakanath, M Aykol, H Tang, ...
Computational Materials Science 139, 140-152, 2017
642017
Data-driven prediction of battery cycle life before capacity degradation
KA Severson, PM Attia, N Jin, N Perkins, B Jiang, Z Yang, MH Chen, ...
Nature Energy 4 (5), 383-391, 2019
632019
Nano-scale phase separation in amorphous Fe–B alloys: Atomic and cluster ordering
M Aykol, AO Mekhrabov, MV Akdeniz
Acta Materialia 57 (1), 171-181, 2009
552009
Surface phase diagram and stability of (001) and (111) LiM n 2 O 4 spinel oxides
S Kim, M Aykol, C Wolverton
Physical Review B 92 (11), 115411, 2015
522015
Suppressing Manganese Dissolution from Lithium Manganese Oxide Spinel Cathodes with Single‐Layer Graphene
L Jaber‐Ansari, KP Puntambekar, S Kim, M Aykol, L Luo, J Wu, BD Myers, ...
Advanced Energy Materials 5 (17), 1500646, 2015
452015
Thermodynamic limit for synthesis of metastable inorganic materials
M Aykol, SS Dwaraknath, W Sun, KA Persson
Science advances 4 (4), eaaq0148, 2018
442018
Material design of high-capacity Li-rich layered-oxide electrodes: Li 2 MnO 3 and beyond
S Kim, M Aykol, VI Hegde, Z Lu, S Kirklin, JR Croy, MM Thackeray, ...
Energy & Environmental Science 10 (10), 2201-2211, 2017
402017
Nanoclay assisted strengthening of the fiber/matrix interface in functionally filled polyamide 6 composites
NA Isitman, M Aykol, C Kaynak
Composite Structures 92 (9), 2181-2186, 2010
372010
Revealing the conversion mechanism of transition metal oxide electrodes during lithiation from first-principles
Z Yao, S Kim, M Aykol, Q Li, J Wu, J He, C Wolverton
Chemistry of Materials 29 (21), 9011-9022, 2017
332017
Solidification behavior, glass forming ability and thermal characteristics of soft magnetic Fe–Co–B–Si–Nb–Cu bulk amorphous alloys
M Aykol, MV Akdeniz, AO Mekhrabov
Intermetallics 19 (9), 1330-1337, 2011
322011
A machine learning approach for engineering bulk metallic glass alloys
L Ward, SC O'Keeffe, J Stevick, GR Jelbert, M Aykol, C Wolverton
Acta Materialia 159, 102-111, 2018
282018
Active learning for accelerated design of layered materials
L Bassman, P Rajak, RK Kalia, A Nakano, F Sha, J Sun, DJ Singh, ...
npj Computational Materials 4 (1), 1-9, 2018
272018
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Articles 1–20