Publications

• High-fidelity multi-physics guidelines for model validation and uncertainty quantification , Frontiers in Nuclear Engineering (2026)
• Development and application of two-step uncertainty propagation and sensitivity analysis methodology for fast reactor safety analysis , Nuclear Engineering and Design (2025)
• High-resolution predictions of the coolant properties for the 3D PWR core with artificial neural networks based on CTF , Nuclear Engineering and Design (2025)
• Uncertainty Quantification Framework for High-Temperature Gas-Cooled Reactors Using VSOP and DAKOTA , Nuclear Science and Engineering (2025)
• Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need? , Nuclear Science and Engineering (2025)
• Verification of the PWR core solver coupling the neutron code nTRACER with artificial neural networks for thermal–hydraulic feedback , Frontiers in Energy Research (2025)
• A Framework for Multi-Physics Modeling, Design Optimization and Uncertainty Quantification of Fast-Spectrum Liquid-Fueled Molten-Salt Reactors , Applied Sciences (2024)
• A component diagnostic and prognostic framework for pump bearings based on deep learning with data augmentation , Reliability Engineering & System Safety (2024)
• A system diagnostic and prognostic framework based on deep learning for advanced reactors , Progress in Nuclear Energy (2024)
• Fuel performance code to code comparative analysis for the OECD/NEA MPCMIV benchmark , Nuclear Engineering and Design (2024)