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Hydrogels with injectability and robustness have great promise in clinical practice. However, current injectable hydrogels are usually mechanically weak. Here, an idea, "preformed hydrogel reversion", is proposed to develop robust injectable hydrogels through an intermediate unit‐mediated, continuous structural inheritance strategy. In this strategy, robust preformed hydrogels are physically disassembled into intermediate injectable structure‐inherited microgels (SIMs), and upon encountering water in physiological environment, the SIMs can construct a macroscopical robust structure with the driving force of hydrogen bonds (H‐bonds). The physical disassembly and construction process enables the inheritance of robust structures through SIMs, thereby realizing both excellent injectability and robustness. Beyond that, the SIMs also exhibit long‐term storage stability and convenient usability. Using protein drug loading and hemostasis as examples, it is demonstrated that the SIM system shows superiorities in biomedical applications. The proposed idea of "preformed hydrogel reversion" can open new horizons for developing robust injectable hydrogels for diverse applications. [ABSTRACT FROM AUTHOR]

The significance of exploring optimal electrode materials cannot be overstated, particularly in mitigating the critical issues posed by sluggish redox kinetics, significant volume variations, and severe structural collapse resulting from the insertion and extraction of sodium ions. These efforts are crucial for enhancing the longevity and rapid charging capabilities of sodium‐ion batteries (SIBs). Herein, a defect engineering strategy for the in situ encapsulation of single‐phase ternary iron phosphoselenide into porous carbon by robust chemical bonds with the formation of rod‐like multicavity nanohybrids (FePSe3@C) is presented. The incorporation of Se atom not only modulates the electronic structure of the central metal Fe atom and enhances the intrinsic electrical conductivity, but also generates numerous additional reaction sites and accelerates the reaction kinetics of FePSe3@C, as corroborated by theoretical calculations and kinetic analysis. Notably, the FePSe3@C demonstrates an outstanding rate capability of 321.7 mAh g−1 even at 20 A g−1 and long cycling stability over 1000 cycles. The sodium‐ion full cell, pairing the FePSe3@C anode with the Na3V2(PO4)3@C cathode, exhibits a remarkable energy density of 202 Wh kg−1, demonstrating its practical applicability. This work provides a controllable defect and morphology engineering strategy to construct advanced materials with fast charge transfer for high‐power/energy SIBs. [ABSTRACT FROM AUTHOR]

It is crucial to develop advanced optoelectronic devices that incorporate multiple functions, including sensing, storage, and computing, which is considered at the forefront of semiconductor optoelectronics to meet emerging functional diversification. In this study, by stacking the n‐type Ga2O3 with the n‐type MoS2 flakes, a Ga2O3/MoS2 heterostructure optoelectronic device with high rectification ratio of ≈105 and on/off ratio of ≈108 is fabricated, which achieves high detectivity of 1.34 × 109 Jones and high responsivity of 28.92 mA/W. More importantly, the Ga2O3/MoS2 heterostructure device shows potential ability to integrate sensing and memorizing, simultaneously, which can be used as artificial neuromorphic synaptic. The device exhibits excellent photo‐induced synaptic functions including short‐term plasticity, long‐term plasticity, and paired‐pulse facilitation, realizing the ability to couple light and electrical signals by Pavlovian associative learning. At last, the device also demonstrates the information processing ability to act as optoelectronic logic gate AND by synergistically regulating the light on/off states and gate voltage. The research introduces an innovative strategy for the development of next‐generation optoelectronic devices which are highly integrated with sensing, memory, and logic processing functions, demonstrating great application prospects in constructing an efficient artificial neuromorphic visual and logic systems. [ABSTRACT FROM AUTHOR]