Sometimes, one darn thing leads to another in a series of cascading failures. Understanding the weak points that lead to such cascades could help us make better investments in preventing them.
Professor Raissa D’Souza in the UC Davis College of Engineering studies complex systems and how they can go wrong.
In the Nov. 17 issue of Science, Raissa D’Souza, professor of computer science and mechanical and aerospace engineering at UC Davis, wrote a perspective article about cascading failures that arise from the reorganization of flows on a network, such as in electric power grids, supply chains and transportation networks.
As the Juno space probe approached Jupiter in June last year, researchers with the Computational Infrastructure for Geodynamics’ Dynamo Working Group were starting to run simulations of the giant planet’s magnetic field on one of the world’s fastest computers. While the timing was coincidental, the supercomputer modeling should help scientists interpret the data from Juno, and vice versa.
Video: Simulation of Jupiter’s magnetic fields
“Even with Juno, we’re not going to be able to get a great physical sampling of the turbulence occurring in Jupiter’s deep interior,” Jonathan Aurnou, a geophysics professor at UCLA who leads the geodynamo working group, said in an article for Argonne National Laboratory news. “Only a supercomputer can help get us under that lid.”