Radiative cooling engineering generally utilizes thermal radiation and sunlight reflection to decrease the temperature of an object or space. In this work, a polymer-based nanophotonic textile (PBNT) based on radiative cooling was fabricated and possesses high spectral selectivity (η = 5.12), IR absorbance/emittance (ε AW = 87.31%), and sunlight reflectance (ρ = 93.28%). Indoor cooling measurement shows that the skins covered with the PBNT are 3.1−3.5 °C lower than traditional textiles. Under direct solar irradiation, the PBNT also exhibits a high cooling capability with skin temperatures 7.7−10.8 °C lower in contrast with traditional textiles. More critically, we successfully designed hydrophilic−hydrophobic Janus surfaces so that the metamaterial possesses both wonderful antifouling and moisture permeability properties. Such excellent thermal and wearable properties demonstrate the promising perspective of the PBNT for summer textiles.

Injection molding is a polymer-processing method widely used, which consumes about one-third of global plastics and produces 80% of plastic parts. However, it is still challenging to in situ reveal the structural evolution of polymers during injection molding, which is a long-standing obstacle to understand the relationship of processing−structure−property. This work has first built an in situ investigation system with the aid of a highly brilliant synchrotron Xray and large experimental space with a length of 30 m, width of 8 m, and height of 6 m, allowing the installation of an industrial-scale injection molding machine. Based on the characterization system, the fast millisecond-resolved structural evolution of general semicrystalline polymers is identified. Various structural types of information including crystallization kinetics, polymorphism, and the growth and orientation of their lamellar crystals under an actual environment of non-isothermal crystallization with a cooling gradient, intense flow, and high pressure during injection molding have been revealed for the first time. The high-throughput feature of the system provides a vital prerequisite for the subsequent establishment of a quantitative database of processing parameter−structure− performance and the precise regulation of polymer aggregation structures, which is valuable for the digitalization and intelligence of the development of the injection molding industry and integration into the Industrial Internet.

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