X. Zhou

Han, X., Ren, P., Garcia Rodriguez, D., Wang, H., Yu, X., Zhou, X., … Gubo, R. (2025). Distinct Diffusion and Recombination Dynamics of Atomic Carbon and Oxygen on Face-Centered Cubic and Body-Centered Cubic Iron Multilayers. ACS Nano, 19(11), 11120-1113225. https://doi.org/10.1021/acsnano.4c18025 (Original work published 2025)

Shao, J., Luo, Y., Wu, H., Wang, J., Zhou, X., Er, S., … van Hest, J. C. (2025). Designing polymersomes with surface-integrated nanoparticles through hierarchical phase separation. Nature Communications, 16, 2445. https://doi.org/10.1038/s41467-025-57711-y (Original work published 2025)

Zhou, X., Xu, C., Guo, X., Apostol, P., Vlad, A., Janssen, R. J., & Er, S. (2025). Computational and Machine Learning-Assisted Discovery and Experimental Validation of Conjugated Sulfonamide Cathodes for Lithium-Ion Batteries. Advanced Energy Materials, 15(25), 2401658. https://doi.org/10.1002/aenm.202401658 (Original work published 2025)

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)