X. Zhou

Guo, X. ., Apostol, P. ., Zhou, X. ., Wang, J. ., Lin, X. ., Rambabu, D. ., … Vlad, A. . (2024). Towards the 4 V-class n-type organic lithium-ion positive electrode materials: the case of conjugated triflimides and cyanamides. Energy and Environmental Science, 17(1), 173-182. https://doi.org/10.1039/d3ee02897f

Luo, Y. ., Wu, H. ., Zhou, X. ., Wang, J. ., Er, S. ., Li, Y. ., … van Hest, J. . (2023). Polymer Vesicles with Integrated Photothermal Responsiveness. Journal of the American Chemical Society, 145(36), 20073-20080. https://doi.org/10.1021/jacs.3c07134 (Original work published 2023)

Zhou, X. ., Khetan, A. ., Zheng, J. ., Huijben, M. ., Janssen, R. A. J., & Er, S. . (2023). Discovery of lead quinone cathode materials for Li-ion batteries. Digital Discovery, 2(4), 1016-1025. https://doi.org/10.1039/D2DD00112H (Original work published 2023)

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

Zhou, X. . (2022). High-throughput computational screening of organic molecules for organic ion battery cathodes (Eindhoven University of Technology). Eindhoven University of Technology, Eindhoven, Netherlands. Retrieved from https://research.tue.nl/nl/publications/high-throughput-computational-screening-of-organic-molecules-for- (Original work published)

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)