APA Citation

Xiao, D., Gong, H., Cheng, S., Chen, Z., Li, Q., Quilodrán-Casas, C., & Arcucci, R. (2022). An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics. Annals of Nuclear Energy, 179, p. 109431. doi:10.1016/j.anucene.2022.109431

Chicago Style Citation

Xiao, Dunhui, Helin Gong, Sibo Cheng, Zhang Chen, Qing Li, César Quilodrán-Casas, and Rossella Arcucci. "An Efficient Digital Twin Based On Machine Learning SVD Autoencoder and Generalised Latent Assimilation for Nuclear Reactor Physics." Annals of Nuclear Energy 179 (2022): 109431.

MLA Citation

Xiao, Dunhui, et al. "An Efficient Digital Twin Based On Machine Learning SVD Autoencoder and Generalised Latent Assimilation for Nuclear Reactor Physics." Annals of Nuclear Energy 179 (2022): 109431.

Warning: These citations may not always be 100% accurate.