About this Research Topic
The intersection of artificial intelligence (AI) and nuclear energy is a critical area of research, especially within the innovation economy. As AI applications expand, they require significant energy resources; estimates indicate that by 2030, the U.S. will need over 50 gigawatts (GW) to support AI-driven data centers. This surge is primarily due to the demands of machine learning and extensive data processing. In response, nuclear energy emerges as a sustainable solution, offering a clean and reliable power source that aligns with the continuous operational needs of AI systems.
Moreover, advancements in AI can enhance nuclear technology by optimizing reactor operations and improving safety measures through data analysis. This synergy not only addresses energy demands but also positions both sectors as key drivers of future economic growth, fostering innovation and job creation while promoting sustainability in energy consumption. This collection explores these dynamics, highlighting the mutual benefits of AI and nuclear energy.
The goal of this Research Topic is to bring together advances in AI and nuclear technology, focusing on their synergy, to promote our understanding of their interplay, and highlight its importance for the innovation economy as a critical frontier for future sustainable economic development. As AI and nuclear technology raise similar ethical considerations, we believe that these two areas should be examined in tandem.
The collection will provide a reference point for researchers in academia and industry, as well as a springboard for emerging technologies.
Original Research and Review articles are invited in areas including, but not limited to:
• AI and nuclear technology
• Predictive maintenance of nuclear infrastructure
• Digital twins for nuclear technology
• Machine learning for nuclear technology
• Safety optimization of nuclear infrastructure using AI
• Nuclear research acceleration via AI modelling
• Regulatory compliance and streamlining processes
• Small modular reactors
• Micro reactors
Moreover, advancements in AI can enhance nuclear technology by optimizing reactor operations and improving safety measures through data analysis. This synergy not only addresses energy demands but also positions both sectors as key drivers of future economic growth, fostering innovation and job creation while promoting sustainability in energy consumption. This collection explores these dynamics, highlighting the mutual benefits of AI and nuclear energy.
The goal of this Research Topic is to bring together advances in AI and nuclear technology, focusing on their synergy, to promote our understanding of their interplay, and highlight its importance for the innovation economy as a critical frontier for future sustainable economic development. As AI and nuclear technology raise similar ethical considerations, we believe that these two areas should be examined in tandem.
The collection will provide a reference point for researchers in academia and industry, as well as a springboard for emerging technologies.
Original Research and Review articles are invited in areas including, but not limited to:
• AI and nuclear technology
• Predictive maintenance of nuclear infrastructure
• Digital twins for nuclear technology
• Machine learning for nuclear technology
• Safety optimization of nuclear infrastructure using AI
• Nuclear research acceleration via AI modelling
• Regulatory compliance and streamlining processes
• Small modular reactors
• Micro reactors
Keywords: AI in Nuclear Research, Nuclear Energy for AI, Energy Transition, Emerging Technologies, Innovation Economy
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
