Skip to main content
See every side of every news story
Published loading...Updated

Scientists find that “perfect” systems may be surprisingly fragile

Summary by Science Daily
Complex systems may work better when their parts are not perfectly alike. Northwestern physicists found that carefully balanced variation, or “disorder,” can make networks such as power grids, ecosystems, neurons, and materials more stable. Even random differences sometimes improved stability compared with completely uniform systems. The discovery could help researchers design more resilient technologies and explain why natural systems are so ra…

5 Articles

A Northwestern University research found that introducing differences between the components of a network can increase its stability. The principle could apply to systems The post Disorder can make complex systems more stable, according to a study published in Science appeared first on .

A new scientific study challenges a long-held assumption: that complex systems work best when all their individual components are as similar as possible. Researchers at Northwestern University have found that, in many cases, a controlled dose of "disorder" or nonuniformity can not only not destabilize a system, but make it more resilient.

A study conducted by physicists at Northwestern University indicates that disorder in complex systems can increase stability, challenging the notion that uniformity is always desirable. Research suggests that...

Read Full Article
Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • 100% of the sources are Center
100% Center

Factuality Info Icon

To view factuality data please Upgrade to Premium

Ownership

Info Icon

To view ownership data please Upgrade to Vantage

Science Daily broke the news in Encinitas, United States on Saturday, September 19, 2026.
Too Big Arrow Icon
Sources are mostly out of (0)

Similar News Topics

News
Feed Dots Icon
For You
Search Icon
Search
Blindspot LogoBlindspotLocal