Kan Ni

Ni, K., & Hou, J. (2023). An Efficient High-to-Low Iterative Method for Light Water Reactor Analysis Based on NEAMS Tools. Nuclear Science and Engineering, 197(8), 1700–1716. https://doi.org/10.1080/00295639.2022.2158706

Ni, K. (2022). A High-to-low Iterative Method for Light Water Reactor Analysis.

Ni, K., & Hou, J. (2022). An Efficient High-To-Low Informing Scheme for 3D and Steady-state Multiphysics Simulations. OCED/NEA WPRS Workshop. Presented at the OCED/NEA WPRS Workshop - C5G7-TD Track, Aix-en-Provence (France).

Ni, K., & Hou, J. (2022). An Efficient High-To-Low Informing Scheme for Core Neutronics Calculations Based on NEAMS Tools. International Conference on Physics of Reactors 2022 (PHYSOR 2022), 2551–2560. Pittsburgh, PA: doi.org/10.13182/PHYSOR22-37331.

Ni, K., Cao, Y., Stauff, N., & Hou, J. (2022). Assessment of Griffin Cross-Section Interpolation Capability on TRISO-Fueled Heat-Pipe Micro-Reactor. International Conference on Physics of Reactors 2022 (PHYSOR 2022), 3097–3106. Pittsburgh, PA: doi.org/10.13182/PHYSOR22-37536.

Fustero, J., Powell, W., Ni, K., & etc. (2022). High to Low Multi-Physics Modeling and Uncertainty Propagation using NEAMS Tools. 2022 ANS Winter Meeting. Presented at the Phoenix, AZ. Phoenix, AZ.

Ni, K., Nguyen, K., & Hou, J. (2022). Multi-parametric Cross-section and Decusping Function Generation in Support of C5G7 Phase II-2 Exercises. OCED/NEA WPRS Workshop. Presented at the OCED/NEA WPRS Workshop - C5G7-TD Track, Aix-en-Provence (France).

Williams, J., Howe, T., Hou, J., & Ni, K. (2022). Neutronics Modeling of the Pulsed Plasma Rocket Reactor Using Rattlesnake. International Conference on Physics of Reactors 2022 (PHYSOR 2022). Presented at the International Conference on Physics of Reactors 2022 (PHYSOR 2022), Pittsburgh, PA.

Stauff, N., Miao, Y., Bhattacharya, S., Cao, Y., Ni, K., & Thomas, J. (2022). Versatile Heat Transfer Module. https://doi.org/10.2172/1844344

Stauff, N., Mo, K., Cao, Y., Thomas, J., Miao, Y., Zou, L., … Ni, K. (2021). Detailed analyses of a TRISO-fueled microreactor: Modeling of a Micro-Reactor System using NEAMS Tools. https://doi.org/10.2172/1826285

Ni, K., Hou, J., & Avramova, M. (2021). Development of a High-To-Low Informing Scheme for Core Neutronics Calculations Based on NEAMS Tools. The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2021). Presented at the Raleigh, United States. https://doi.org/dx.doi.org/10.13182/M&C21-33736

Ni, K., Hou, J., & Avramova, M. (2020). Implementation and comparison of lattice module and discontinuity factors module in PROTEUS toolsets. International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020, 2020-March, 394–401. https://doi.org/10.1051/epjconf/202124702035

Hou, J., Ni, K., & Hawari, A. (2019). An artificial neural network based anomaly detection algorithm for nuclear power plants. Transactions of the American Nuclear Society, 120, 219–222. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85092137439&partnerID=MN8TOARS

Ni, K., Zeng, K., & Hou, J. (2018). Generation of Covariance Matrix Based on Updated Nuclear Data Library Using NJOY. Workshop of OECD/NEA Benchmark for Uncertainty Analysis in Best-Estimate Modelling for Design, Operation and Safety Analysis of LWRs (LWR-UAM-12). Presented at the Workshop of OECD/NEA Benchmark for Uncertainty Analysis in Best-Estimate Modelling for Design, Operation and Safety Analysis of LWRs (LWR-UAM-12), Lucca, Italy.

Ni, K., Trivedi, I., & Hou, J. (2018). Processing of Covariance Information from Updated Nuclear Data Library Using NJOY. ANS (Best Estimate Plus Uncertainty) BEPU workshop of UAM-SFR. Presented at the ANS (Best Estimate Plus Uncertainty) BEPU workshop of UAM-SFR, Lucca, Italy.

Ni, K. (2016). An Analysis on the Present Situation and Prospect of Nuclear Power Development in China. Industry A, 178.

Ni, K. (2016). The Influence of Nuclear Energy Security and Development on Nuclear Energy Structure Adjustment in China. Industry, 2, 65.