SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-026-4244-0
Near-infrared perovskite light-emitting diodes (NIR-PeLEDs) suffer from poor operational stability, largely due to interfacial reactions at the electron-transport layer (ETL)/perovskite interface. Here, we introduce a zinc ion (Zn2+)-chelated hybrid ETL derived from a Zn2+-chelated polyethylenimine ethoxylated (PEIE) complex, which partially retains the surface properties of ZnO but exhibits significantly reduced oxygen defects and surface-adsorbed hydroxyl groups. This well-modulated surface promotes perovskite crystallization and mitigates interface-induced deprotonation of organic cations during device operation. Consequently, NIR-PeLEDs employing this hybrid ETL achieve a peak external quantum efficiency (EQE) of 20.1%, a high radiance of 652 W sr-1 m-2, and an exceptional T50 lifetime of 270.7 hours at a high current density of 100 mA cm-2, which is over five times that of devices based on conventional ZnO nanocrystal (NC) ETLs. Our results present an effective ETL strategy for operationally stable NIR-PeLEDs and thoroughly reveal the critical role of regulating interfacial reactions in stabilizing buried interfacial contacts. These findings provide valuable insights for advancing perovskite optoelectronic devices that suffer from interface-induced performance degradation.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3748-9
Direct regeneration is a sustainable solution for recycling spent lithium-ion batteries (LIBs), yet the irregular strains induced by the irreversible FePO4 phase after cycling hinder Li+ replenishment in spent LiFePO4 cathodes. This study proposes a lattice stress modulation strategy that reduces FePO4 to Fe2P2O7, reducing unit cell volume from 271.7 to 122.6 Å3, releasing residual stress and reconstructing continuous Li+ transport channels. The phase transformation reconstructs FeO6 octahedra, lowering the migration energy barrier for ions. This synergistically weakens steric effects, facilitating Li+ replenishment and eliminating Li-Fe anti-site defects. Regenerated LiFePO4 cathodes achieve 80.2% capacity retention after 1000 cycles at 2C, outperforming commercial cathodes. The work establishes fundamental principles for the pre-treatment stage of direct regeneration and provides a paradigm-shifting solution for sustainable LIB recycling.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3825-x
Polymer-based dielectric materials with high energy density and thermal stability are critical for modern electric/electronic industries. Polyimide (PI) based materials are promising due to their high temperature resistance and chemical inertness, yet their inherently low dielectric constant and limited charge-discharge energy density restrict applications in film capacitors. While incorporating ferroelectric or conductive fillers can enhance dielectric performance, batch-to-batch inconsistency and physical deterioration remain problematic. This study focuses on molecular structure design and modulation, preparing hyperbranched polyimides with different dianhydride monomers and branching degrees. The effects of chain packing density with polar groups on dielectric and energy storage performances were systematically investigated via experimentation and molecular simulation. Results demonstrate a significant correlation between monomers' electrical distribution and packing density in polymer systems. Molecular simulation further elucidated the underlying mechanism. This work establishes a foundation for designing polymer-based dielectric materials with high dielectric and energy storage performances at the molecular level.
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-4081-y
The evolution of precision medicine has propelled multimodal imaging-guided phototheranostics to the forefront for precise tumor diagnosis and therapy. Low-temperature photothermal therapy (PTT) offers a promising approach for the treatment of melanoma due to its non-invasiveness and minimal damage to normal tissues. However, its efficacy is limited by cancer cell thermal tolerance. To address this, a new type of multifunctional energy disruptor (CAMeO-Q NPs) is developed featuring homologous targeting and mitochondria targeting, and synergistically enhancing low-temperature PTT in melanoma by reversing heat shock protein 90 (Hsp90)-mediated thermal tolerance and blocking mitochondrial adenosine triphosphate (ATP) biosynthesis. The multifunctional energy disruptor enables precise trimodal imaging (fluorescence imaging/FLI, photoacoustic imaging/PAI, and photothermal imaging/PTI) guidance for low-temperature PTT. Comprising a mitochondria-targeting photothermal agent and an Hsp90 inhibitor, CAMeO-Q NPs induce selective mitochondrial damage under 660 nm laser irradiation and downregulate cellular HSP expression by ATP inhibition and Hsp90 inhibitor. This multifunctional energy disruptor provides a novel strategy for enhancing multimodal imaging-guided low-temperature photothermal therapy through combined homologous targeting, mitochondria-targeting, and Hsp90 inhibition.
SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3535-8
The brain's selective visual attention mechanism (SVAM) enables robust visual recognition in noisy environments through diverse neural action potential peaks acting as filters. Spiking neural networks (SNNs) mimic this paradigm but limited noise immunity and high write current density hinder brain-like efficiency. Hardware implementing SVAM necessitates spiking spintronic devices with noise-resistant and low operation current densities; such devices remain unreported. Here, we report an orbit-torque (OT) actuated ferromagnetic spiking synapse and neuron featuring a tunable peak action potential. These are more akin to biological neurons with varying sensitivities to external sensory stimuli, thereby augmenting the perception aptitude of the system in complex surroundings. Capitalizing on the high-efficiency OT, the ferromagnetic device demands a write current density of 5 × 10^6 A/cm^2, which is an order of magnitude lower than other spiking devices actuated by spin-orbit torque. Leveraging these neuromorphic devices, an all-spin SNN with low current density and tunable action potential peak has been fabricated, successfully mimicking the SVAM. In complex noise environment, the SNN achieves 92% on Cifar-10 and 95% on MNIST dataset, surpassing state-of-the-art spin-based SNNs by 5%. Our work provides a promising avenue for exploring the SVAM-inspired spiking neuromorphic devices, enhancing the bionic performance of the SNNs.