Data solutions
Framatome to commercialise digital twin-based diagnostics
Framatome and EDF's subsidiary Metroscope are going to commercialize digital twin technology of nuclear auxiliary system. The work will be built on digital twin system developed for high-temperature gas reactor auxiliary system at Argonne National Laboratory.
Read more in World Nuclear News
Making Nuclear Energy Use Safer with Artificial Intelligence
Artificial intelligence has several use cases in nuclear industry. The article gives some examples such as decision support systems, operator monitoring system and automated safety assessment.
Read more in AZoCleantech
Enhancing nuclear power production with artificial intelligence
While generative artificial intelligence has gained massive public attention in the last few years, it is still a kind of black box, which is seen as a barrier against larger utilization in nuclear industry. However, some machine learning applications such as anomaly detection are already seen in the nuclear industry. IAEA has been supporting artificial intelligence development since 2021 by producing reports and creating working groups.
Read more in IAEA's news center
A Gateway to Artificial Intelligence for the Nuclear Industry
Tasks and activities at nuclear power plants have been traditionally based on manual work by human operators. In the Light Water Reactor Sustainability program sponsored by the United States Department of Energy, developers are creating a domain-specific ChatGPT-like virtual assistant for helping employees at nuclear power plants in their everyday tasks.
Read more in American Nuclear Society's Nuclear Newswire
How Artificial Intelligence Will Change Information and Computer Security in the Nuclear World
Sophisticated artificial intelligence technologies may bring risks for nuclear power plants' computer security if malicious actors utilize new technology in their attacks. However, artificial intelligence may also be used to increase computer security by letting it monitor threats and recognizing anomalies.
Read more in IAEA's news center
Using AI to Enhance Nuclear Fusion: The Potential and Challenges
International Atomic Energy Agency held AI for Good webinar, which included a talk on utilizing artificial intelligence in nuclear fusion simulations. The content of the talk is summarized in Barcelona Supercomputing Center's blog post: machine learning gives opportunities to optimize and increasing performance of nuclear fusion simulations.
Read more in Barcelona Supercomputing Center's blog post
ONR publishes key considerations for applying blockchain technology in the nuclear sector
The United Kingdom's Office for Nuclear Regulation has recently formed an innovation hub to advance innovative solutions in the nuclear sector more efficiently. In their innovation hub, ONR published a report on blockchain and its applicability and regulatory considerations in the nuclear sector.
Read more in ONR's news center
Sellafield AI strategy 'to boost safety and speed up site remediation'
Artificial intelligence has demonstrated its value in Sellafield in several business areas. Now Sellafield Ltd is moving forward with the artificial intelligence by creating a strategy for the artificial intelligence aiming to increase safety and performance as well as incorporating the new technology in frequent decision-making.
Read more in World Nuclear News
Artificial intelligence reframes nuclear material studies
A deep learning based algorithm, which is able to track defects in materials under extreme conditions using video recordings as data source, has been developed in the Argonne National Laboratory. The new method improves discovering suitable materials for advanced nuclear reactors.
Read more in Argonne National Laboratory’s news center
Hot salt, clean energy: How artificial intelligence can enhance advanced nuclear reactors
Molten salt is a key component in molten salt reactors because it works as a reactor coolant and fuel. Finding a potential mixture of molten salt and its optimal properties is a challenging task. Scientists from Argonne National Laboratory utilized machine learning in computer simulations in order to find suitable molten salt mixtures to study further.
Read more in Argonne National Laboratory’s news center
Data is key to an economic future
Machine learning and artificial intelligence have a potential to reduce costs and enhance safety but mainly they are still not adopted to use in nuclear industry. The article explains the benefits of advanced data analytics methods.
Read more in Nuclear Engineering International
AI’s nuclear opportunities
The International Atomic Energy Agency published a report on artificial intelligence earlier this year. Based on the findings by the IAEA, the article discusses how artificial intelligence could be utilized in the areas of automation, optimization, analytics, prediction and insights.
Read more in Nuclear Engineering International
Blockchain could be the key to nuclear material safeguards
Blockchain is a promising technology for tracking nuclear materials but stored data in the blockchain is not encrypted by default. Researchers in the University of New South Wales have developed a distributed ledger based nuclear material safeguarding system, called as SLINMAC, which is able to provide end-to-end encryption for the data.
Read more in UNSW Sydney’s news center
Machine learning facilitates “turbulence tracking” in fusion reactors
Ordinarily turbulence in fusion reactors is studied by averaging quantities that characterize the structures of the turbulence. Now machine learning-based computer vision models have been used in tracking individual structures of turbulence enabling a more detailed view of the turbulence in fusion reactors.
Read more in MIT’s news center
Seven Ways AI Will Change Nuclear Science and Technology
The International Atomic Energy Agency has listed seven potential areas wherein artificial intelligence could be utilized, including nuclear science research, nuclear power plants, nuclear security and nuclear safeguards.
Read more in IAEA’s news center Read IAEA’s recent publication on Artificial Intelligence
Inria, Framatome team up on digital nuclear safety solutions
The French National Institute for Research in Digital Science and Technology and Framatome have signed a partnership agreement to enhance nuclear safety by utilizing digitalization and computational technologies. The co-operation includes collaboration in research programmes, industry challenges and training.
Read more in World Nuclear News
3D Simulations of Operating Nuclear Power Plants
Duke Energy One and L3Harris offer a new innovative service for decision making in nuclear power plants using 3D simulations. The 3D data is created using laser scanners by Duke Energy One after which L3Harris pairs the data with an immersive environment.
Read more in World Nuclear News