(Phys.org) —A team of researchers at the University of California has developed a model that might lead to a better way to control natural cascading events such as landslides, earthquakes, or even neural networks. In their paper published in the journal Physical Review Letters, the team describes how they expanded on prior research using simulated sand piles to develop statistical models for controlling complex cascading events.
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