1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M5., Yu, Y., Zheng, X., 2016. Tensorflow: large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467.
2. Adkins, H., Geelhood, K.J, Koeppel, B., Coleman, J., Bignell, J., Flores, G., Wang, J.A., Sanborn, S., Spears, R., Klymyshyn, N., 2013. Used fuel disposition campaign, used nuclear fuel loading and structural performance under normal conditions of transport-demonstration of approach and results on used fuel performance characterization. U.S. Department of Energy, FCRD-UFD-2013-000325, Washington DC.
3. Failure probability assessment of SNF cladding transverse tearing under a hypothetical transportation accident;Almomani;Nuclear Engineering and Design,2021
4. Structural integrity of a high-burnup spent fuel rod under drop impact considering pellet-clad interfacial bonding influence;Almomani;Nuclear Engineering and Design,2018
5. Parametric study on the structural response of a high burnup spent nuclear fuel rod under drop impact considering post-irradiated fuel conditions;Almomani;Nuclear Engineering and Technology,2020