Andy Rivas

Rivas, A., Delipei, G. K., Davis, I., Bhongale, S., & Hou, J. (2024). A system diagnostic and prognostic framework based on deep learning for advanced reactors. PROGRESS IN NUCLEAR ENERGY, 170. https://doi.org/10.1016/j.pnucene.2024.105114

Rivas, A., Martin, N. P., Bays, S. E., Palmiotti, G., Xu, Z., & Hou, J. (2022). Nuclear data uncertainty propagation applied to the versatile test reactor conceptual design. NUCLEAR ENGINEERING AND DESIGN, 392. https://doi.org/10.1016/j.nucengdes.2022.111744

Rivas, A., Delipei, G. K., & Hou, J. (2022). Predictions of component Remaining Useful Lifetime Using Bayesian Neural Network. PROGRESS IN NUCLEAR ENERGY, 146. https://doi.org/10.1016/j.pnucene.2022.104143

Rivas, A., Stauff, N., Sumner, T., & Hou, J. (2021). Propagating neutronic uncertainties for FFTF LOFWOS Test #13. NUCLEAR ENGINEERING AND DESIGN, 375. https://doi.org/10.1016/j.nucengdes.2020.111047