Achieving robust superomniphobic surfaces capable of repelling both high- and low-surface-tension liquids (e.g., water, organic solvents) under dynamic conditions remains a challenge. Nature-inspired structures, such as T-shaped or hierarchical architectures, advance static repellency but often fail under high-speed impacts, as minimized solid fractions reduce capillary pressure and allow liquid penetration. Here, we present a flexible, springtail-inspired superomniphobic surface with an optimized solid fraction (∼0.15) that unites strong static repellency with exceptional dynamic resistance. The surface sustains organic droplet shattering at impact velocities up to 4.4 m s^-1, the highest reported for artificial superomniphobic surfaces. Under extreme impacts, droplets undergo hierarchical-structure-induced fragmentation and rapid film rupture, enabling retraction-free rebound and an ∼59% reduction in contact time. This behavior reproduces the shattering dynamics of natural organisms and, in certain regimes, exceeds natural benchmarks. Our findings establish design principles for mechanically adaptive, impact-resilient superomniphobic surfaces with potential applications in protective coatings and self-cleaning materials.

Abstract Physical unclonable functions (PUFs) have emerged as a hardware‐based alternative to traditional cryptographic methods, which can be vulnerable to various types of threats, including physical tampering. PUFs exploit the unique and irreproducible variations in physical hardware to generate secure and distinctive identifiers, thereby offering a layer of security. However, the inherently random nature of PUF‐generate data often sacrifices reliability and accuracy. To address this dilemma, this study introduces geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena. This method imbues PUF labels with both stochastic and deterministic properties. This novel strategy harnesses the high degree of randomness introduced by the solutal‐Marangoni effect while achieving deterministic multinary quantized patterns through the polygonal confinement of binary‐mixture liquid droplets, effectively resolving the reliability issues of traditional PUFs. The controlled dewetting mechanism is elucidated using micro‐particle image velocimetry (µ‐PIV), which pinpointed the precise moment of symmetry breaking within the internal flows of a binary solvent mixture. This approach allows for the facile creation of highly random PUF labels arranged in periodic pixel arrays, facilitating convenient, accurate, and fast authentication. Moreover, these labels are reconfigurable, transferable to various surfaces, and can be dyed with fluorescent molecules for versatile and robust, higher‐level security applications.