Center for Nuclear Energy Facilities and Structures

Development of physics-consistent conditional diffusion model to overcome data scarcity in critical heat flux

Alsafadi, F., Akins, A., & Wu, X. (2026, February 14). Energy and AI.

Nuclear Data Adjustment for Nonlinear Applications in the OECD/NEA WPNCS SG14 Benchmark—A Bayesian Inverse UQ-Based Approach for Data Assimilation

Brady, C., & Wu, X. (2026, February 9). Nuclear Science and Engineering, Vol. 2.

High-fidelity multi-physics guidelines for model validation and uncertainty quantification

Delipei, G. K., Faure, Q., Avramova, M., & Ivanov, K. (2026, February 4). Frontiers in Nuclear Engineering, Vol. 2.

Full 3D equivalence between the NEM code and the Serpent 2 Monte Carlo code

Pasquale, S. D., Petruzzi, A., Giusti, V., & Ivanov, K. (2026, January 30). Journal of Nuclear Science and Technology, Vol. 1.

Autonomous Navigation and Target Object Detection in Real-Time Mobile Robotic Welding Systems

Lee, D., & Han, K. (2026, January 28).

BIM and 360-Degree Camera Data Registration Using Fiducial Markers

Bagh, S., Hwang, J., & Han, K. (2026, January 28).

Verification of the PWR core solver coupling the neutron code nTRACER with artificial neural networks for thermal–hydraulic feedback

Papadionysiou, M., Delipei, G., Avramova, M., Ferroukhi, H., & Ivanov, K. (2025, December 18). Frontiers in Energy Research, Vol. 12.

Digital Computational Framework for Automated Detection of Design Modifications in Finite Element Models

Ashe, W., Bodda, S., Sandhu, H., Gupta, A., & Han, K. (2025, January 1). SSRN Electronic Journal.

Large Language Model-Driven Workflow for Regulatory Reporting in Nuclear Construction

28th International Conference on Structural Mechanics In Reactor Technology.

Structuring Motion-Based Communication as a Language for Robotics: Analysis with Dense Optical Flow

42nd International Symposium on Automation and Robotics in Construction.

Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?

Wu, X., Moloko, L. E., Bokov, P. M., Delipei, G. K., Kaizer, J., & Ivanov, K. N. (2025, October 22). Nuclear Science and Engineering.

Analyzing the functioning of a graduate engineering class with multiple collaborating groups using Slack: An embedded mixed methods case study

Diaz, B., Delgado, C., Bacher, J., Lynch, C., & Han, K. (2025, October 1). International Journal of STEM Education, Vol. 12.

Automation in digital analysis solutions for nuclear design-construction integration using BIM-FEM interoperability

Sandhu, H. K., Ashe, W., Crowder, N., Gupta, A., Han, K., & Bodda, S. S. (2025, September 24). International Journal of Pressure Vessels and Piping.

Monte Carlo Dropout Uncertainty Quantification of Long Short-Term Memory Autoencoder Anomaly Detection in a Liquid Sodium Cold Trap

Akins, A., Kultgen, D., Wu, X., & Heifetz, A. (2025, September 26). Nuclear Technology, Vol. 9.

An investigation on machine learning predictive accuracy improvement and uncertainty reduction using VAE-based data augmentation

Alsafadi, F., Yaseen, M., & Wu, X. (2025, September 11). Nuclear Engineering and Design, Vol. 445.

False sensor-data detection strategy for post-hazard condition monitoring of nuclear systems using statistical approaches and long short-term memory

Sandhu, H. K., Lee, J., Bodda, S. S., Gupta, A., & Dinh, N. (2025, September 22). International Journal of Pressure Vessels and Piping, Vol. 219.

Bayesian Calibration and Sensitivity Analysis of Rayleigh Scattering Fiber Optic Distributed Temperature Sensing in Water Flow Loop

Kohler, L., Lisowski, D., Weathered, M., Wu, X., & Heifetz, A. (2025, August 20). Nuclear Science and Engineering, Vol. 8.

Motion-Based Communication as a Language: Formal Grammar Representation and Model-Free Decoding with Dense Optical Flow

Albergo, N., Hwang, J., Lee, D., & Han, K. (2025, August 20). ASCE OPEN Multidisciplinary Journal of Civil Engineering.

High-resolution predictions of the coolant properties for the 3D PWR core with artificial neural networks based on CTF

Papadionysiou, M., Delipei, G., Avramova, M., Ferroukhi, H., & Ivanov, K. (2025, July 1). Nuclear Engineering and Design, Vol. 442.

Physics-trained artificial intelligence framework to detect chloride induced degradation in concrete

Patel, P., Gupta, A., Bodda, S. S., & Sandhu, H. K. (2025, January 10). Journal of Infrastructure Intelligence and Resilience.

Physics-based hybrid machine learning for critical heat flux prediction with uncertainty quantification

Furlong, A., Zhao, X., Salko, R. K., & Wu, X. (2025, July 15). Applied Thermal Engineering, Vol. 279.

Dual‐reference approach for vision‐based structural displacement measurement using time‐varying Kalman filter

Jeon, G., Han, K., & Yoon, H. (2025, July 6). Computer-Aided Civil and Infrastructure Engineering.

Enhancing computational efficiency of Bayesian Inference by identifying the intensity measure range to update seismic fragility curves

Mahanta, M. J., Bodda, S. S., Gupta, A., & Ha, J.-G. (2025, May 30). Nuclear Engineering and Design.

Digital engineering workflow for effective management of ITAAC using text analytics and 4D BIM concept for construction of nuclear power plants

Wang, L., Sandhu, H. K., Han, K., & Gupta, A. (2025, June 4). Nuclear Engineering and Design.

Automated digital transformation for pedestrian suspension bridges using hybrid semantic structure from motion

Park, Y., Lee, J., Han, K., & Yoon, H. (2025, May 9). Automation in Construction.