Center for Nuclear Energy Facilities and Structures

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?

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

INTERNATIONAL JOURNAL OF STEM EDUCATION, 12(1).

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

INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 219.

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 27). NUCLEAR TECHNOLOGY, Vol. 9.

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

NUCLEAR ENGINEERING AND DESIGN, 445.

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

INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 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 22). NUCLEAR SCIENCE AND ENGINEERING, Vol. 8.

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

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

NUCLEAR ENGINEERING AND DESIGN, 442.

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

JOURNAL OF INFRASTRUCTURE INTELLIGENCE AND RESILIENCE, 4(2).

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

APPLIED THERMAL ENGINEERING, 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

NUCLEAR ENGINEERING AND DESIGN, 441.

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

Nuclear Engineering and Design.

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

AUTOMATION IN CONSTRUCTION, 176.

Uncertainty Quantification Framework for High-Temperature Gas-Cooled Reactors Using VSOP and DAKOTA

Delipei, G. K., Altahhan, M., Rouxelin, P., Sen, S., George, N., Avramova, M., & Ivanov, K. (2025, May 15). NUCLEAR SCIENCE AND ENGINEERING, Vol. 5.

Development of Serpent/CTF External Coupling for the OECD/NEA TVA-WB1 Benchmark Activities

Albagami, T., Rouxelin, P., Abarca, A., Palmtag, S., Avramova, M., & Ivanov, K. (2025, April 27). NUCLEAR SCIENCE AND ENGINEERING, Vol. 4.

Sensitivity and uncertainty analysis in pebble-bed reactors: A study using the High-Temperature Code Package (HCP)

ANNALS OF NUCLEAR ENERGY, 219.

Predicting critical heat flux with uncertainty quantification and domain generalization using conditional variational autoencoders and deep neural networks

ANNALS OF NUCLEAR ENERGY, 220.

Simulating experimentally observed nonlinear response of large-scale concrete structure to understand the selection of damping: A case of minor nonlinearities

NUCLEAR ENGINEERING AND DESIGN, 439.

A scaffolding model for designing and implementing work-integrated learning experiences based on the analysis of the university and company's arrangements

Diaz, B., Delgado, C., Han, K., & Lynch, C. (2025, April 2). HIGHER EDUCATION.

A vision-based weigh-in-motion approach for vehicle load tracking and identification

Lam, P. T., Lee, J., Lee, Y., Nguyen, X. T., Vy, V., Han, K., & Yoon, H. (2025, March 16). COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING.

High-Resolution flow boiling simulations with multiple nucleation sites in mini-channels with offset strip fins

APPLIED THERMAL ENGINEERING, 268.