Topics of Interest

General Thermal-Hydraulics

• Fundamental Phenomena
• Two-Phase Flow Fundamentals
• Boiling and Condensation
• Turbulence Modeling
• Thermal-Hydraulics and Safety of Water-Cooled Reactors
• Code Development and V&V
• General Topics

Advanced Thermal-Hydraulics

• Advances in Numerical Methods
• CFD Methods and Application to Nuclear Engineering
• Multi-Scale and Multiphysics Coupling Simulation
• Separate-Effect and Integral-Effect Experiments
• Advanced Measurement Techniques
• Thermal-Hydraulic Scaling

Plant Operations

• Safety Culture
• Plant Transient Behavior and System Improvement
• I&C and Inspection, Diagnosis and Maintenance
• Plant Licensing Renewal and Life Extension
• Plant Simulators, Analyzers and Operator Training
• PRA Application to Design, Operation and Maintenance
• Reactor Operation in Accordance with Volatile Energy Mix
• Waste Management and Radiation Protection on Site
• Fuel Management
• Decommissioning

Regulation, Accident Analysis and Source Term

• Regulation, Accident Analysis and Source Term
• Risk Informed Methods and Performance-based Regulation
• Emergency Planning, Zoning and Requirements for SMRs
• Environmental Nuclear Safety
• Design Basis Accidents
• Design Extension Conditions
• Severe Accidents Analysis, Mitigation and Management
• In-Vessel and Ex-Vessel Related Phenomena
• Containment Thermal-Hydraulics and Source Term

Thermal Hydraulics and Safety of Advanced Reactors

• Generation IV Technologies (Liquid Metal-Cooled Reactors, Gas-Cooled Reactors, Molten Salt Reactors, Supercritical Water Reactors)
• Small Modular Reactors (SMRs) and Micro Reactors
• Fusion Reactors

Special Topics

• Machine Learning and Artificial Intelligence in Nuclear Engineering
• Big Data Applications and Related Challenges
• Advanced-Technology Fuels

 

Elsevier Index / Special issue in JNST, NED, NT, AITF

• Indexing of the NUTHOS-15 proceedings in Elsevier databases (Currently under review).
• Special issue of NUTHOS-15 in Journal of Nuclear Science and Technology (JNST), Nuclear Engineering and Design (NED), or Nuclear Technology (NT). Selected contributions on AI and Machine Learning will be considered for publication in the special issue of AI-Thermal Fluids (AITF).