| Quantum-mechanical transition-state model combined with machine learning provides catalyst design features for selective Cr olefin oligomerization SM Maley, DH Kwon, N Rollins, JC Stanley, OL Sydora, SM Bischof, ... Chemical Science 11 (35), 9665-9674, 2020 | 69 | 2020 |
| Machine learning analysis of direct dynamics trajectory outcomes for thermal deazetization of 2, 3-diazabicyclo [2.2. 1] hept-2-ene N Rollins, SL Pugh, SM Maley, BO Grant, RS Hamilton, MS Teynor, ... The Journal of Physical Chemistry A 124 (23), 4813-4826, 2020 | 12 | 2020 |
| Electrophilic impact of high-oxidation state main-group metal and ligands on alkane C–H activation and functionalization reactions CR King, N Rollins, A Holdaway, MM Konnick, RA Periana, DH Ess Organometallics 37 (18), 3045-3054, 2018 | 10 | 2018 |
| Thermal design and analysis of a passive modular molten salt microreactor concept A Larsen, B Clayton, LG Gunnell, A Bryner, L Brown, N Rollins, ... Nuclear Engineering and Design 402, 112107, 2023 | 5 | 2023 |
| Safety Analysis for Accident Tolerant Fuels with Increased Enrichment and Extended Burnup YJ Choi, K Ogujiuba, N Rollins, K Nguyen, J Hou, U Baker, B Lindley Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2022 | 3 | 2022 |
| Development and Demonstration of a Risk-Informed Approach to the Regulatory Required Fuel Reload Safety Analysis YJ Choi, MG M Mostafa Abdo, G Palamone, S Heagy, C Frepoli, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2022 | 3 | 2022 |
| Machine learning and statistical analysis for catalyst structure prediction and design SM Bischof, UJ Kilgore, OL Sydora, DH Ess, DH Kwon, NK Rollins US Patent 12,102,992, 2024 | | 2024 |
| Development of New Reactor Core Configuration for Power Uprate-Fuel Reload & Heat Processing Analyses, Core Design, System Safety Assessments, and Fuel Performance Analyses J Kim, R Christian, C Otani, C Parisi, JC Luque Gutierrez, N Rollins, J Hou Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | | 2024 |
| A Full-scale Demonstration of Pressurized Water Reactor Core Design Optimization using Multi-Cycle Optimization Methodology J Kim, MG M Mostafa Abdo, C Wang, JC Luque Gutierrez, N Rollins, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | | 2024 |
| Source term analysis of FeCrAl accident tolerant fuel using MELCOR U Baker, YJ Choi, N Rollins, K Nguyen, WH Jung, A Whitmeyer, J Hou, ... Annals of Nuclear Energy 202, 110482, 2024 | | 2024 |
| Gains in operational flexibility, safety margins, and cost efficiencies via integrated Plant Reload Optimization platform J Kim, S Lawrence, MG M Mostafa Abdo, JC Luque-Gutierrez, N Rollins, ... Idaho National Laboratory (INL), Idaho Falls, ID (United States), 2024 | | 2024 |
| Prototyping of a Machine Learning–Based Burnup Measurement Capability for Pebble Bed Reactor Fuel N Rollins, I Allan, J Hou Nuclear Science and Engineering, 1-19, 2024 | | 2024 |
| Burnup Correlation with Gamma Spectrum of the Pebble Bed Reactor Fuel Using Machine Learning N Rollins, A India, H Jason Mathematics and Computational Methods Applied to Nuclear Science and Engineering, 2023 | | 2023 |
| Modeling and Simulation Needs and Capabilities for Artificial Intelligence Based Plant Reload Optimization Platform CB Yong-Joon Choi, Gabrielle Palamone, Stephen Heagy, Cesare Frepoli ... Probabilistic Safety Assessment and Management PSAM 16, 2022 | | 2022 |
| Machine learning analysis of quasiclassical direct dynamics trajectories for thermal deazetization N Rollins, S Pugh, R Carlsen, J Jenkins, D Ess ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 258, 2019 | | 2019 |