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By ynet
Tech09:17 · 42m ago

Tel Aviv University Study Reveals How Particles Shape Their Environment

YnetCenter
Translated & summarized from Ynet by baba
The story · English

Researchers at Tel Aviv University have discovered that particles moving randomly through an environment can significantly alter that environment, leading to surprising changes in their own movement. The study, led by Dr. Ofek Lauber-Boenomo and Itamar Strit from the School of Chemistry, in collaboration with Professor Sidney Redner of the Santa Fe Institute, explored what happens when a particle not only moves randomly but also pushes obstacles in its path.

Their findings, published in Physical Review Letters, show a distinct difference in particle behavior based on environmental density. In sparse environments, the particle can easily push obstacles aside and move relatively freely. However, as the density of obstacles increases, the particle begins to accumulate them, forming a 'shell' around itself. This shell increasingly restricts the particle's movement, paradoxically slowing it down the more it tries to advance.

The research developed a minimal mathematical model where a randomly moving particle can push clusters of obstacles, with larger clusters being harder to move. This simple rule generates complex behavior, demonstrating how a particle's motion is not just influenced by its surroundings but actively reshapes them, which in turn affects the particle's subsequent motion.

"We usually think of the environment as something fixed that the particle has to navigate," explained Dr. Lauber-Boenomo. "In our study, we showed that the picture can be more complex: the particle changes its environment, and the changing environment, in turn, changes how the particle moves."

Professor Shlomo Reuveni highlighted the broader implications, stating, "One of our goals is to discover how simple rules generate complex behavior. These basic principles can be relevant to very different systems, from bacteria moving in a dense cellular environment to robots digging their way through the ground." The model allows for a deeper understanding of this fundamental mechanism and its potential applications in real-world systems.

Read the original at Ynet
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