Want cheaper nuclear energy? Turn the design process into a game

Recommendable! More nuclear power is a very rational and common sense solution to meet world energy demands and reduce carbon emissions!

"... Researchers at MIT and Exelon show that by turning the design process into a game, an AI system can be trained to generate dozens of optimal configurations that can make each rod last about 5 percent longer, saving a typical power plant an estimated $3 million a year, the researchers report. The AI system can also find optimal solutions faster than a human, and quickly modify designs in a safe, simulated environment. ...
Exelon is now testing a beta version of the AI system in a virtual environment that mimics an assembly within a boiling water reactor, and about 200 assemblies within a pressurized water reactor, which is globally the most common type of reactor. Based in Chicago, Illinois, Exelon owns and operates 21 nuclear reactors across the United States. It could be ready to implement the system in a year or two, a company spokesperson says."

"... The methodology is applied on two boiling water reactor assemblies of low-dimensional ( combinations) and high-dimensional ( combinations) natures. The results demonstrate that RL is more effective than SO [stochastic optimization] in solving high dimensional problems, i.e., 10 × 10 assembly, through embedding expert knowledge in form of game rules and effectively exploring the search space. ..."

Want cheaper nuclear energy? Turn the design process into a game | MIT News | Massachusetts Institute of Technology Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.

Here is the link to the respective research paper:

Physics-informed reinforcement learning optimization of nuclear assembly design