S. Er

Zhou, X. ., Janssen, R. A. J., & Er, S. . (2023). Virtual screening of organic quinones as cathode materials for sodium-ion batteries. Energy Advances, 2(6), 820-828. https://doi.org/10.1039/d2ya00282e

Zhang, Q. ., Khetan, A. ., Sorkun, E. ., Niu, F. ., Loss, A. ., Pucher, I. ., & Er, S. . (2022). Data-driven discovery of small electroactive molecules for energy storage in aqueous redox flow batteries. Energy Storage Materials, 47, 167-177. https://doi.org/10.1016/j.ensm.2022.02.013 (Original work published 2022)

Chang, F. ., Tezsevin, I. ., de Rijk, J. ., Meeldijk, J. ., Hofmann, J. ., Er, S. ., … de Jongh, P. . (2022). Potassium hydride-intercalated graphite as an efficient heterogeneous catalyst for ammonia synthesis. Nature Catalysis, 5(3), 222–230. https://doi.org/10.1038/s41929-022-00754-x

Sorkun, M. C., Mullaj, D. ., Koelman, J. M. V. A., & Er, S. . (2022). ChemPlot, a Python Library for Chemical Space Visualization. Chemistry-Methods, 2(7), e202200005. https://doi.org/10.1002/cmtd.202200039

Sorkun, E. ., Zhang, Q. ., Khetan, A. ., Sorkun, M. C., & Er, S. . (2022). RedDB, a computational database of electroactive molecules for aqueous redox flow batteries. Nature Scientific Data, 9, 718. https://doi.org/10.1038/s41597-022-01832-2 (Original work published 2022)

Zhang, Q. ., Khetan, A. ., Sorkun, E. ., & Er, S. . (2022). Discovery of aza-aromatic anolytes for aqueous redox flow batteries via high-throughput screening. Journal of Materials Chemistry A, 10(41), 22214-22227. https://doi.org/10.1039/D2TA05674G (Original work published 2022)

Tezsevin, I. ., van de Sanden, M. M., & Er, S. . (2021). High-Throughput Computational Screening of Cubic Perovskites for Solid Oxide Fuel Cell Cathodes. Journal of Physical Chemistry Letters, 12(17), 4160-4165. https://doi.org/10.1021/acs.jpclett.1c00827 (Original work published 2021)

Liu, Z. ., Hussain, T. ., Karton, A. ., & Er, S. . (2021). Empowering hydrogen storage properties of haeckelite monolayers via metal atom functionalization. Applied Surface Science, 556, 149709. https://doi.org/10.1016/j.apsusc.2021.149709 (Original work published 2021)

Zhou, X. ., Khetan, A. ., & Er, S. . (2021). Evaluation of Computational Chemistry Methods for Predicting Redox Potentials of Quinone-Based Cathodes for Li-Ion Batteries. Batteries, 7(4), 71. https://doi.org/10.3390/batteries7040071 (Original work published 2021)

Zhang, Q. ., Khetan, A. ., & Er, S. . (2021). A Quantitative Evaluation of Computational Methods to Accelerate the Study of Alloxazine-Derived Electroactive Compounds for Energy Storage. Scientific Reports, 11, 4089. https://doi.org/10.1038/s41598-021-83605-2 (Original work published 2021)