Nadish Saini

Zhu, Y., Dinh, N. T., Saini, N., & Bolotnov, I. A. (2022). An adaptive knowledge-based data-driven approach for turbulence modeling using ensemble learning technique under complex flow configuration: 3D PWR sub-channel with DNS data. NUCLEAR ENGINEERING AND DESIGN, 393. https://doi.org/10.1016/j.nucengdes.2022.111814

Saini, N., & Bolotnov, I. A. (2021, December 8). Detailed Analysis of the Effects of Spacer Grid and Mixing Vanes on Turbulence in a PWR Subchannel Under DFFB Conditions Based on DNS Data. NUCLEAR TECHNOLOGY, Vol. 12. https://doi.org/10.1080/00295450.2021.1974279

Saini, N., & Bolotnov, I. A. (2021). Two-Phase Turbulence Statistics from High Fidelity Dispersed Droplet Flow Simulations in a Pressurized Water Reactor (PWR) Sub-Channel with Mixing Vanes. FLUIDS, 6(2). https://doi.org/10.3390/fluids6020072

Fang, J., Cambareri, J. J., Li, M., Saini, N., & Bolotnov, I. A. (2020). [Review of Interface-Resolved Simulations of Reactor Flows]. NUCLEAR TECHNOLOGY, 206(2), 133–149. https://doi.org/10.1080/00295450.2019.1620056

Vaish, M., Kleinstreuer, C., Kolanjiyil, A. V., Saini, N., & Pillalamarri, N. R. (2016). Laminar/turbulent airflow and microsphere deposition in a patient-specific airway geometry using an open-source solver. INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 22(2), 145–161. https://doi.org/10.1504/ijbet.2016.079145