SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3615-1
Stretchable electronics are pivotal for bio-integrated devices, soft robotics, and wearables, yet their development is constrained by single-layer architectures that limit integration density and by mechanical mismatch between rigid components and soft substrates, which curtails service life. Here, we introduce a LEGO-like modular assembly strategy to construct multilayer three-dimensional (3D) stretchable electronics. Electronic components (ECs) and self-healing polyurethane (SPU) substrates patterned with liquid metal (LM) circuits serve as the modular blocks. This design simplifies fabrication and markedly enhances 3D integration density. The combination of LM circuits and self-healing elastic substrates enables devices to withstand diverse deformations and to autonomously heal after mechanical damage. Notably, the devices can undergo multiple recycling and reuse cycles without significant performance loss. This methodology offers a new paradigm for advanced flexible electronics, addressing critical bottlenecks in integration density, mechanical robustness, and sustainability.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3764-5
Rechargeable lithium-ion batteries (LIBs) are ubiquitous in portable electronics and electric vehicles, yet their flammable liquid electrolytes pose safety hazards and limit energy density. All-solid-state batteries (ASSBs) with solid-state electrolytes (SSEs) offer enhanced safety and higher energy density. Among SSEs, metal chloride SSEs (Li aMCl b, M = In, Y, Er) combine high ionic conductivity, mechanical deformability, and compatibility with high-voltage cathodes. However, their ionic conductivity and anode stability require improvement. Here, we introduce pentavalent Ta5+ doping into Li3InCl6 (LIC) to engineer Li+ vacancies via charge compensation, yielding Li3−2xIn1−xTaxCl6 (LITxC, 0 ≤ x ≤ 0.6). Ta5+ incorporation efficiently increases Li+ vacancy content without disrupting the cubic close packing (ccp) structure. The optimized composition, Li2.4In0.7Ta0.3Cl6 (LIT0.3C), achieves an ionic conductivity of 2.19 mS cm−1 at 30 °C and a low activation energy of 0.273 eV, balancing vacancy concentration and Li+ content. Ta5+ doping also enhances kinetic stability against the anode. ASSBs with LIT0.3C demonstrate excellent cycling stability: Ni90 cathodes retain 72.3% capacity after 1000 cycles at 0.5 C, while NCM523 cathodes retain 84.1% after 500 cycles at 0.2 C and 80.7% after 1000 cycles. These results highlight a practical strategy for improving chloride SSE performance, offering new insights for high-performance ASSB design.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3545-7
Magnetically driven hydrogel robots show promise in biomedical and underwater applications due to remote controllability, flexibility, biocompatibility, and chemical stability. However, limited functional integration restricts their adaptability. Here, a universal modular assembly strategy is introduced using a self-healing κ-carrageenan/polyacrylamide hydrogel embedded with magnetic particles, enabling free assembly of magnetic actuation modules. These modules construct soft robots with complex geometries and magnetization distributions, allowing diverse deformations under magnetic fields. The strategy further integrates photocatalysis by embedding Ru-Bi2CrO6 photocatalysts into functional modules, yielding an oxygen-generating robot. This robot exhibits flexible underwater movement via magnetically controlled oscillatory actuation, minimizing water agitation while supplying stable oxygen to specific aquatic environments. The photocatalytic oxygen evolution rate reaches 389.1 μmol g−1 h−1. The hydrogel skeleton suppresses particle aggregation and sedimentation, and facilitates magnetic recovery. This scalable and adaptable approach advances multifunctional soft robot design.
Journal of Environmental Engineering Technology•2026•DOI: 10.13205/j.hjgc.202606018
Swine wastewater, a high-strength organic effluent, offers a viable substrate for anaerobic biohydrogen production, aligning with clean energy recovery. This study compared hydrogen production in three anaerobic sequencing batch reactors (ASBRs) treating: raw wastewater (R1), supernatant after MAP (magnesium ammonium phosphate) precipitation for nitrogen and phosphorus recovery (R2), and the same supernatant with anaerobic sludge heat-treated at 75°C for 0.5 h (R3). Without pH adjustment, hydrogen production in R1 remained below 0.50 mmol/(kg·d). At an influent COD of 1800 mg/L, R2 and R3 achieved hydrogen production rates of 48.17 and 71.44 mmol/(kg·d), respectively. At COD 2400 mg/L, methane concentrations in R1, R2, and R3 were 10.8%, 14.2%, and 9.1%, respectively, indicating MAP pretreatment enhanced both hydrogen and methane production. As COD increased, R1's methane concentration rose to 14.6%, while average COD removal efficiencies for R1, R2, and R3 were 78.9%, 70.8%, and 52.5%, respectively. Under pH adjustment, all reactors peaked at pH 4.0, with hydrogen production rates of 0.10, 7.74, and 8.83 mol/(kg·d) for R1, R2, and R3, respectively. These findings demonstrate that MAP pretreatment combined with sludge heat treatment significantly enhances biohydrogen production, offering a promising strategy for swine wastewater valorization.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3576-6
Emulating biological synaptic plasticity is essential for advancing artificial intelligence. However, in most existing synaptic phototransistors to date, both electrical and optical stimuli induce weight modulation within a comparable dynamic range, limiting plasticity tunability and richness. Here, we report a synaptic phototransistor that enables distinct weight modulation in response to electrical and optical inputs, achieving hierarchical, multi-scale plasticity with concurrent visible-light emission for direct display. The device integrates a long-afterglow material that converts transient ultraviolet (UV) excitation into persistent visible emission, serving as a temporally extended, memory-like optical stimulus. Compared to direct electrical gating, this delayed optical activation of the optoelectronic channel induces weight modulation on a significantly longer timescale, enabling hierarchical plasticity and cascade interactions between optical and electrical pathways. The dual-output architecture allows simultaneous optical visualization and electrical signal processing, effectively integrating optical perception with in-sensor computation. Leveraging this design, we demonstrate a UV-resolvable neural network capable of direct image display and achieving a recognition accuracy of 95.03% for handwritten digits. This work establishes a new paradigm for multimodal neuromorphic systems by seamlessly integrating sensing, display, and computation within a unified in-sensor architecture.