Alexander1312
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Scientists at the University of Colorado Boulder have developed a mathematical model that explains how the ornate boxfish—an Australian species decorated with intricate spots, stripes, and hexagons—develops its distinctive skin patterns.
The study, led by engineers Siamak Mirfendereski and Ankur Gupta, builds on mathematician Alan Turing’s 1952 theory of pattern formation, which demonstrated how diffusion and chemical reactions can spontaneously create natural designs like stripes and spots. While previous models often produced patterns that were too smooth or idealized, Gupta’s team improved realism by incorporating two physical processes: diffusiophoresis (the collective motion of particles in a fluid) and direct cell interactions.
These additions made the computer simulations generate sharper, more naturalistic boxfish patterns—complete with imperfections such as uneven lines, broken shapes, and blurred edges. The research shows how subtle cellular movements can explain the “messy beauty” of nature’s designs.
Although the model remains simplified and doesn’t yet capture all biological details, it offers a step toward controlling and recreating natural patterning processes. Potential applications include bio-inspired camouflage, improved soft robotics, and materials that mimic living textures.
Scientists at the University of Colorado Boulder have developed a mathematical model that explains how the ornate boxfish—an Australian species decorated with intricate spots, stripes, and hexagons—develops its distinctive skin patterns.
The study, led by engineers Siamak Mirfendereski and Ankur Gupta, builds on mathematician Alan Turing’s 1952 theory of pattern formation, which demonstrated how diffusion and chemical reactions can spontaneously create natural designs like stripes and spots. While previous models often produced patterns that were too smooth or idealized, Gupta’s team improved realism by incorporating two physical processes: diffusiophoresis (the collective motion of particles in a fluid) and direct cell interactions.
These additions made the computer simulations generate sharper, more naturalistic boxfish patterns—complete with imperfections such as uneven lines, broken shapes, and blurred edges. The research shows how subtle cellular movements can explain the “messy beauty” of nature’s designs.
Although the model remains simplified and doesn’t yet capture all biological details, it offers a step toward controlling and recreating natural patterning processes. Potential applications include bio-inspired camouflage, improved soft robotics, and materials that mimic living textures.
