Muratahan Aykol

Data-driven prediction of battery cycle life before capacity degradation

Kristen Severson, Peter M. Attia, Norman Jin et al. · Nature Energy · 2019 · 2.9K citations · Full text

Engineering, Data Science, Lifecycle Engineering +15

Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)

James E. Saal, Scott Kirklin, Muratahan Aykol et al. · JOM · 2013 · 2.5K citations

Natural Sciences, Materials Science, Physics +16

The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies

Scott Kirklin, James E. Saal, Bryce Meredig et al. · npj Computational Materials · 2015 · 2.4K citations · Full text

Natural Sciences, Chemistry, Physics +17

Scaling deep learning for materials discovery

Amil Merchant, Simon Batzner, Samuel S. Schoenholz et al. · Nature · 2023 · 1.2K citations · Full text

Natural Sciences, Chemistry, Materials Science +17

Closed-loop optimization of fast-charging protocols for batteries with machine learning

Peter M. Attia, Aditya Grover, Norman Jin et al. · Nature · 2020 · 1.1K citations · Full text

Engineering, Computer Science, Electrochemical Engineering +15