Development of Cr cold spray–coated fuel cladding with enhanced accident tolerance M Ševeček, A Gurgen, A Seshadri, Y Che, M Wagih, B Phillips, ... Nuclear Engineering and Technology 50 (2), 229-236, 2018 | 190 | 2018 |
Fission gas diffusion and release for Cr2O3-doped UO2: From the atomic to the engineering scale MWD Cooper, G Pastore, Y Che, C Matthews, A Forslund, CR Stanek, ... Journal of Nuclear Materials 545, 152590, 2021 | 73 | 2021 |
Modeling of Cr2O3-doped UO2 as a near-term accident tolerant fuel for LWRs using the BISON code Y Che, G Pastore, J Hales, K Shirvan Nuclear Engineering and Design 337, 271-278, 2018 | 51 | 2018 |
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation SLN Dhulipala, MD Shields, P Chakroborty, W Jiang, BW Spencer, ... Reliability Engineering & System Safety 226, 108693, 2022 | 23 | 2022 |
Application of Kriging and Variational Bayesian Monte Carlo method for improved prediction of doped UO2 fission gas release Y Che, X Wu, G Pastore, W Li, K Shirvan Annals of Nuclear Energy 153, 108046, 2021 | 23 | 2021 |
Machine learning-assisted surrogate construction for full-core fuel performance analysis Y Che, J Yurko, P Seurin, K Shirvan Annals of Nuclear Energy 168, 108905, 2022 | 10 | 2022 |
General Multifidelity Surrogate Models: Framework and Active-Learning Strategies for Efficient Rare Event Simulation P Chakroborty, SLN Dhulipala, Y Che, W Jiang, BW Spencer, JD Hales, ... Journal of Engineering Mechanics 149 (12), 04023096, 2023 | 8 | 2023 |
Unveiling the interaction of nanopatterned void superlattices with irradiation cascades C Sun, C Jiang, Y Che, WY Chen, Y Zhang, AM Jokisaari, LK Aagesen, ... Acta Materialia 239, 118282, 2022 | 8 | 2022 |
Efficient Bayesian inference with latent Hamiltonian neural networks in No-U-Turn Sampling SLN Dhulipala, Y Che, MD Shields Journal of Computational Physics 492, 112425, 2023 | 6 | 2023 |
Bayesian uncertainty quantification of tristructural isotropic particle fuel silver release: Decomposing model inadequacy plus experimental noise and parametric uncertainties SLN Dhulipala, A Toptan, Y Che, D Schwen, RT Sweet, JD Hales, ... Journal of Nuclear Materials 588, 154790, 2024 | 5 | 2024 |
Assessment and Improvement of Fission Product Transport Predictions of Particle Fuel in BISON A Toptan, W Jiang, G Singh, SLN Dhulipala, Y Che, JD Hales, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2022 | 5 | 2022 |
Cold spray Cr-coated fuel cladding with enhanced accident tolerance M Ševeček, A Gurgen, B Phillips, Y Che, M Wagih, K Shirvan | 5 | 2017 |
Fuel performance of multi-layered zirconium based accident tolerant fuel cladding M Wagih, Y Che, K Shirvan 2017 International Congress on Advances in Nuclear Power Plants: A New …, 2017 | 5 | 2017 |
Design and Full Core Fuel Performance Assessment of High Burnup Cores for 4-Loop PWRs A Halimi, Y Che, K Shirvan Available at SSRN 4907592, 2024 | 4 | 2024 |
Bayesian Inference with Latent Hamiltonian Neural Networks SLN Dhulipala, Y Che, MD Shields arXiv preprint arXiv:2208.06120, 2022 | 4 | 2022 |
Massively parallel bayesian model calibration and uncertainty quantification with applications to nuclear fuels and materials SLN Dhulipala, D Schwen, Y Che, RT Sweet, A Toptan, ZM Prince, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2023 | 3 | 2023 |
Sensitivity and uncertainty analysis of fuel performance assessment of chromia-doped fuel during large-break loca Y Che, X Wu, W Li, K Shirvan, G Pastore, J Hales Proceedings from European Nuclear Society (EuroNuclear): TOPFUEL 2018, 2018 | 3 | 2018 |
Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference SLN Dhulipala, Y Che, MD Shields arXiv preprint arXiv:2209.09349, 2022 | 1 | 2022 |
A New Reduced Order Model For The Mechanistic Creep Behavior Of UO2 RT Sweet, Y Che, MW Donald Cooper, CO Galvin, D Schwen Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | | 2024 |
The impact of the Halden Reactor Project on the Development of the Bison Fuel Performance Code KA Gamble, JD Hales, Y Che Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | | 2024 |