Mind the Gap: A Solution to the Robustness Problem of Turing Patterns Through Patterning Mode Isolation

The paper addresses the robustness problem of Turing patterns, which are sensitive to initial conditions, by introducing a mechanism called pattern mode isolation. This mechanism involves exploring parameter regimes that isolate bifurcation branches, allowing distinct pattern modes to emerge and evolve independently. By doing so, the predictability of Turing pattern mode transitions is enhanced, leading to improved robustness and reproducibility of the patterning outputs.