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Nuclear Science and Engineering

AI/ML Applications Examples

Multiple engineering problems have been solved using AI/ML in Argonne’s NSE Division in collaboration with diverse industry partners (in particular electric utilities and advanced reactor designers).

The table below showcases a few of the application projects that have been developed at Argonne. Summary descriptions of these representative projects can be reached through the associated hyperlinks. These examples convey the real possibilities for addressing issues of maintenance, operation, and design for both existing commercial reactors and advanced reactors in ways not possible with traditional methods.

Domain

Subdomain

Application

Maintenance

Component-Level Health Monitoring

Single-Phase Heat Exchanger

 

 

Feedwater Pump-Motor Set

 

System-Wide Health Monitoring

High Pressure Feedwater System

Operation

Performance Prediction

Power Conversion System

 

 

Inherent Safety Response

 

 

BWR Moisture Carryover

 

Model-Based Control and Optimization

Advanced Reactor

 

 

Integrated Energy System

 

Upset Recovery

Diagnosis of Fast-Acting Faults

 

 

Large Load Rejection Event

Design

Performance Prediction

Surrogate Models

 

Sensor Set

Sensor Assignment