APA (7th ed.) Citation

Y, J., L, W., Y, L., J, W., H, Z., ZG, Y., . . . KW, A. (2025). Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors. Nature communications, 16(1), 6899. https://doi.org/10.1038/s41467-025-62306-8

Chicago Style (17th ed.) Citation

Y, Ji, Wang L, Long Y, Wang J, Zheng H, Yu ZG, Zhang YW, and Ang KW. "Ultralow Energy Adaptive Neuromorphic Computing Using Reconfigurable Zinc Phosphorus Trisulfide Memristors." Nature Communications 16, no. 1 (2025): 6899. https://doi.org/10.1038/s41467-025-62306-8.

MLA (9th ed.) Citation

Y, Ji, et al. "Ultralow Energy Adaptive Neuromorphic Computing Using Reconfigurable Zinc Phosphorus Trisulfide Memristors." Nature Communications, vol. 16, no. 1, 2025, p. 6899, https://doi.org/10.1038/s41467-025-62306-8.