AI and Nuclear Energy for the Innovation Economy

  • 2,390

    Total views and downloads

Submit your idea

You will be redirected to our submission process.

Submit your manuscript

About this Research Topic

This Research Topic is still accepting articles.

    1. Check author guidelines

Background

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

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Brief Research Report
  • Data Report
  • Editorial
  • FAIR² Data
  • FAIR² DATA Direct Submission
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

  • Brief Research Report
  • Data Report
  • Editorial
  • FAIR² Data
  • FAIR² DATA Direct Submission
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review
  • Opinion
  • Original Research
  • Perspective
  • Policy and Practice Reviews
  • Review
  • Technology and Code

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.

Topic editors

Manuscripts can be submitted to this Research Topic via the main journal or any other participating journal.

Submit your idea

You will be redirected to our submission process.

Submit your manuscript

Impact

  • 2,390Topic views
  • 680Article views
View impact

Share on WeChat

Scan with WeChat to share this article