Turing‐Inspired Architecture for Efficient Full‐Spectrum Photothermal Catalytic CO ₂ Reduction

Abstract Catalyst geometric topology fundamentally determines maximized active site density, optimized microenvironment crucial for charge separation and reactant activation, but effective strategies for its precise, self‐organized regulation are scarce. Herein, a novel Turing‐inspired full‐spectrum responsive photo‐thermal‐catalytic architecture consisting of graphitic carbon nanosheet (g‐CNS)‐supported Turing‐type Ta 2 O 5 nanomesh for selectively photo‐reducing CO 2 to CO is reported. The unique labyrinthine network and high‐density twin boundaries of Turing Ta 2 O 5 not only significantly enhance mass transfer kinetics, improve charge separation, and expand the exposed active area, but also create abundant coordinatively‐unsaturated Ta sites demonstrated to lower the free‐energy barrier for CO 2 reduction to CO. Additionally, the intimate coupling and layered arrangement minimize heat transfer loss, ensuring highly localized heating at the active interface. Under full‐spectrum irradiation (0.5 W cm −2 ), the Turing Ta 2 O 5 @g‐CNS rapidly heats to 227 °C and achieves a cocatalyst‐free CO yield of 366.6 µmol g −1 h −1 using H 2 O as the reducing agent, representing ≈19‐fold enhancement over its non‐Turing counterpart. This study enriches the repertoire of full‐spectrum catalysts, furthering the Turing structure design concept for enhanced catalytic efficiency.