| 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 | 163 | 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 | 51 | 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 | 42 | 2018 |
| 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 | 20 | 2021 |
| 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 | 19 | 2022 |
| Fuel Performance of Multi-Layered Zirconium-based Accident Tolerant Fuel Cladding M Wagih, Y Che, K Shirvan Proceedings of ICAPP 2017, 2017 | 5 | 2017 |
| 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 | 4 | 2022 |
| Cold Spray Cr-coated Fuel Cladding with Enhanced Accident Tolerance M Ševeček, A Gurgen, B Phillips, Y Che, M Wagih, K Shirvan Proceedings of 2017 Water Reactor Fuel Performance Meeting, 2017 | 4 | 2017 |
| 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 | 3 | 2022 |
| Sensitivity and Uncertainty Analysis of Fuel Performance Assessment of Chromia-doped Fuel During Large-Break LOCA Y Che, X Wu, W Li, G Pastore, J Hales, K Shirvan Proceedings of ANS 2018, 2018 | 3 | 2018 |
| 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 | 2 | 2023 |
| 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 | 2 | 2023 |
| 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 | 2 | 2023 |
| Bayesian Inference with Latent Hamiltonian Neural Networks SLN Dhulipala, Y Che, MD Shields arXiv preprint arXiv:2208.06120, 2022 | 2 | 2022 |
| 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 | | 2024 |
| Assessing New Accident Tolerant Fuel and Cladding Models in the Fuel Performance Code Bison G Singh, Y Che, K Gamble, A Toptan, J Hales, S Novascone Proceedings of the American Nuclear Society: TopFuel 2022 Light Water …, 2022 | | 2022 |
| Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference SLN Dhulipala, Y Che, MD Shields arXiv preprint arXiv:2209.09349, 2022 | | 2022 |
| BISON Capability to Account for Dopant Sensitivity in Relevant UO2 Material Models A Toptan, F Angulo Barba, Y Che, KAL Gamble, G Singh, COT Galvin, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2022 | | 2022 |
| Sensitivity and Uncertainty Analysis for Fuel Performance Evaluation of Cr2O3-Doped UO2 Fuel Under LB-LOCA Y Che, X Wu, G Pastore, J Hales, K Shirvan Proceedings of Top Fuel 2018, 2018 | | 2018 |
