Pan, Q., Yang, L., Wang, H., Liu, H., Shu, Y.
, Li, L., Yang, S., Zhang, W., Mao, Y., Xie, J., Ren, B., Zou, G., Hou, H., Deng, W. & Ji, X. (2026).
Interfacial Thiophilicity Enrichment for Efficient Li–CO2 Batteries.
Advanced Functional Materials,
36(16), Article e22446.
https://doi.org/10.1002/adfm.202522446Viborg, A., Dunstan, M. A., Sapnik, A. F., Aribot, F., Kubus, M., Yutronkie, N. J., Živković, I.
, Borup, K., Li, Z., Leyva-Parra, L., Ubach I Cervera, M., Gracia, D., López-Alcalá, D., Baldoví, J. J., Wilhelm, F., Nassif, V.
, Iversen, B. B., Evangelisti, M., Rønnow, H. M. ... Pedersen, K. S. (2026).
Interplay of Redox Non-Innocence and Symmetry Breaking in a 4d Coordination Framework.
Journal of the American Chemical Society,
148(8), 8060-8066.
https://doi.org/10.1021/jacs.5c19779Jin, H., Gao, R., Cai, L., Wang, B., Peng, J.
, Guo, J., Cheng, G., Wang, Z. & Meng, J. (2026).
Interpretable lithium-ion battery degradation trajectory prediction via multi-task critical point detection and symbolic construction.
Applied Energy,
413, Article 127768.
https://doi.org/10.1016/j.apenergy.2026.127768Jin, Z., Liu, L., Yang, Q., Jia, X., Tao, S., Guo, Y., Ghosh, R.
, Wang, S., Zhu, Q., Jung, M., Guan, K.
, Kumar, V., Reichstein, M., Fang, J. & Luo, Y. (2026).
Knowledge-Guided Machine Learning for Global Change Ecology Research.
Global Change Biology,
32(2), Article e70742.
https://doi.org/10.1111/gcb.70742
