Qiang, S.; Liu, L.; Li, S.; Wang, S.; Huang, X.; Yang, J.; Song, J.; Zhang, Y.; Huang, Y.; Fan, Q.
Prediction of the Non-Reducing Biomineralization of Nuclide–Microbial Interactions by Machine Learning: The Case of Uranium and Bacillus subtilis. Toxics 2025, 13, 305.
https://doi.org/10.3390/toxics13040305
AMA Style
Qiang S, Liu L, Li S, Wang S, Huang X, Yang J, Song J, Zhang Y, Huang Y, Fan Q.
Prediction of the Non-Reducing Biomineralization of Nuclide–Microbial Interactions by Machine Learning: The Case of Uranium and Bacillus subtilis. Toxics. 2025; 13(4):305.
https://doi.org/10.3390/toxics13040305
Chicago/Turabian Style
Qiang, Shirong, Leijin Liu, Siqi Li, Shuang Wang, Xinyang Huang, Jiaxin Yang, Jiayu Song, Yue Zhang, Yongxiang Huang, and Qiaohui Fan.
2025. "Prediction of the Non-Reducing Biomineralization of Nuclide–Microbial Interactions by Machine Learning: The Case of Uranium and Bacillus subtilis" Toxics 13, no. 4: 305.
https://doi.org/10.3390/toxics13040305
APA Style
Qiang, S., Liu, L., Li, S., Wang, S., Huang, X., Yang, J., Song, J., Zhang, Y., Huang, Y., & Fan, Q.
(2025). Prediction of the Non-Reducing Biomineralization of Nuclide–Microbial Interactions by Machine Learning: The Case of Uranium and Bacillus subtilis. Toxics, 13(4), 305.
https://doi.org/10.3390/toxics13040305