A5005458033- Nuclear reactor physics and engineering
- Nuclear Materials and Properties
- Nuclear Physics and Applications
- Graphite, nuclear technology, radiation studies
- Nuclear Engineering Thermal-Hydraulics
- Radiation Detection and Scintillator Technologies
- Nuclear and radioactivity studies
- Risk and Safety Analysis
- Fault Detection and Control Systems
- CRISPR and Genetic Engineering
- Oil and Gas Production Techniques
- Radiation Therapy and Dosimetry
- Superconducting Materials and Applications
- Magnetic confinement fusion research
- Cyclone Separators and Fluid Dynamics
- Genetically Modified Organisms Research
- Radiation Shielding Materials Analysis
- Reservoir Engineering and Simulation Methods
- Advanced biosensing and bioanalysis techniques
- Non-Destructive Testing Techniques
- Advanced Data Processing Techniques
- Radioactivity and Radon Measurements
- Salmonella and Campylobacter epidemiology
- Plant and Fungal Interactions Research
- Granular flow and fluidized beds
Tsinghua University
2013-2025
Ministry of Education of the People's Republic of China
2018-2024
China Rural Technology Development Center
2018-2024
Ministry of Agriculture and Rural Affairs
2018-2024
Massachusetts Institute of Technology
2016-2021
Key Laboratory of Nuclear Radiation and Nuclear Energy Technology
2020
Nanjing Agricultural University
2018
Emergency decision support techniques play an important role in complex and safety-critical systems such as nuclear power plants (NPPs). decision-making is not a single method but framework comprising combination of various technologies. This paper presents review methods for emergency NPPs. We first discuss the theoretical foundations plant Based on this exposition, key technologies NPPs are presented, including training operators management, risk assessment, fault detection diagnosis,...
Abstract Nuclear energy plays an important role in global supply, especially as a key low-carbon source of power. However, safe operation is very critical nuclear power plants (NPPs). Given the significant impact human-caused errors on three serious accidents history, artificial intelligence (AI) has increasingly been used assisting operators with regard to making various decisions. In particular, data-driven AI algorithms have identify presence and their root causes. there lack open NPP...
Knowledge-driven and data-driven methods are the two representative categories of intelligent technologies used in fault diagnosis nuclear power plants. have advantages interpretability robustness, while better performance ease modeling inference efficiency. Given complementarity methods, a combination them is worthwhile investigation. In this work, we introduce new techniques based on Bayesian theory (knowledge-driven) artificial neural network (data-driven) for The first approach exploits...
A high-fidelity model for the first criticality of pebble-bed reactor HTR-PM is built using Monte Carlo (MC) code RMC and discrete element method (DEM) LAMMPS. Randomly packed TRi-structural ISOtropic (TRISO) particles fuel pebbles are modeled explicitly. cone structure on top pebble bed also taken into account. Criticality calculation result agrees well with experiment. Uncertainty analysis carried out considering three inherent aspects: randomness MC code, TRISO particle position, mixed...
Abstract Fault Tree Analysis (FTA) is an indispensable tool in high-stakes industries like nuclear power for conducting thorough risk assessments. However, the development of fault trees Nuclear Power Plants (NPPs) often marred by necessity interdisciplinary and intricate knowledge, posing a significant hurdle non-experts. This specialized knowledge limits wider adoption FTA across various sectors. In response to these challenges, this study introduces Large Language Model Generator...