Artificial Intelligence
and Machine Learning

INL’s vision is to change the world’s energy future and secure our nation’s critical infrastructure. To support INL’s research missions, we have five goals.

1. Methods: Use AI/ML to bridge existing research gaps.
2. Data: Use INL’s unique data sources and expertise to leverage AI/ML for new insights.
3. Tools: Innovate an agile AI/ML computing infrastructure.
4. People: Develop and mature researchers’ AI/ML capabilities.
5. Security: Ensure trustworthy AI/ML that is explainable to end users and decision makers.

Artificial intelligence and machine learning support a variety of research areas and useful applications:

Nuclear Energy:

The increasing adoption of artificial intelligence will accelerate nuclear energy deployment in America. INL will help facilitate this transition by addressing the following challenges:

Autonomous design, development and licensing: INL aims to leverage AI and ML to streamline the design, development, and licensing processes for nuclear reactors. By integrating AI with engineering tools, we can automate the creation of 3D building information models and enhance the efficiency of the design workflow. This includes developing systems that interface with regulatory bodies to facilitate timely feedback on design documentation and simulations. This will reduce the time and resources required for licensing. INL is also focused on using AI to analyze historical project data, which can identify best practices and potential challenges, improving the design process and minimizing risks associated with delays and cost overruns.

Realization of autonomous operations: INL is committed to advancing autonomous operational capabilities for small modular reactors and microreactors. Through the development of advanced instrumentation, sensors, and AI algorithms, we are enabling remote and autonomous operations that enhance safety and efficiency. Our research includes creating digital twins that provide real-time data to continuously monitor reactor performance. By implementing AI-driven monitoring systems, we can detect anomalies and operational inefficiencies early, allowing for proactive maintenance.

Dominating nuclear energy research and development: INL is maximizing the use of its specialized test facilities. Operating nearly around the clock allows us to efficiently qualify new fuels and materials while accelerating the research timeline. INL is also focused on developing advanced computational models that simulate reactor behavior under various conditions, providing critical insights into fuel performance and reactor dynamics. By collaborating with industry partners and academic institutions, we seek to advance the development of innovative fuels and technologies that improve the safety and efficiency of the next generation of nuclear power plants.