Aqueous zinc-iodine batteries represent a compelling technology for large-scale, sustainable energy storage, yet their practical application is severely hampered by the simultaneous interfacial challenges of uncontrolled dendrite growth on the zinc anode and the parasitic polyiodide shuttle. Herein, we introduce a dual-site functional orchestration strategy by employing a single electrolyte additive, 2-imidazolidone (ELA), to concurrently stabilize both the anode and cathode interfaces. On the anode side, the carbonyl (C=O) functional group of ELA initiates an effective anodic modulation, regulating the Zn²⁺ solvation environment and facilitating a dynamic adsorption layer. This homogenizes the ion flux and guides preferential Zn deposition along the (002) plane, effectively suppressing dendrite formation. Concurrently, at the cathode, the imino (N-H) group immobilizes soluble polyiodide species via hydrogen bonding, realizing an effective cathodic mooring. This targeted confinement arrests the shuttle effect without impeding the intrinsic redox kinetics. This synergistic stabilization translates into exceptional electrochemical performance, with symmetric cells achieving an ultra-long lifespan of over 5500 h at a high current density of 8 mA cm^-2 and the full Zn||I₂ cells demonstrating robust cycling with 79.4% capacity retention after 2500 cycles. This work introduces a dual-site functional orchestration strategy, offering a pathway toward more durable aqueous batteries.

Perovskite-based photovoltaic devices have garnered significant interest owing to their remarkable performance in converting light into electricity. Recently, the focus in the field of perovskite solar cells (PSCs) has shifted towards enhancing their durability over extended periods. One promising strategy is the incorporation of two-dimensional (2D) perovskites, known for their ability to enhance stability due to the large organic cations that act as a barrier against moisture. However, the broad optical bandgap and limited charge transport properties of 2D perovskites hinder their efficiency, making them less suitable as the sole light-absorbing material when compared to their three-dimensional (3D) counterparts. An innovative approach involves using 2D perovskite structures to modify the surface properties of 3D perovskite. This hybrid approach, known as 2D/3D perovskites, while enhancing their performance. Beyond solar energy applications, 2D perovskites offer a flexible platform for chemical engineering, allowing for significant adjustments to crystal and thin-film configurations, bandgaps, and charge transport properties through the different organic ligands and halide mixtures. Despite these advantages, challenges remain in integration of 2D perovskites into solar cells without compromising device stability. This review encapsulates the latest developments in 2D perovskite research, focusing on their structural, optoelectronic, and stability attributes, while delving into the challenges and future potential of these materials.

Hydrogen, with its carbon-free composition and the availability of abundant renewable energy sources for its production, holds significant promise as a fuel for internal combustion engines (ICEs). Its wide flammability limits and high flame speeds enable ultra-lean combustion, which is a promising strategy for reducing NOx emissions and improving thermal efficiency. However, lean hydrogen-air flames, characterized by low Lewis numbers, experience thermo-diffusive instabilities that can significantly influence flame propagation and emissions. To address this challenge, it is crucial to gain a deep understanding of the fundamental flame dynamics of hydrogen-fueled engines. This study uses high-speed planar SO2-LIF to investigate the evolutions of the early flame kernels in hydrogen and methane flames, and analyze the intricate interplay between flame characteristics, such as flame curvature, the gradients of SO2-LIF intensity, tortuosity of flame boundary, the equivalent flame speed, and the turbulent flow field. Differential diffusion effects are particularly pronounced in H2 flames, resulting in more significant flame wrinkling. In contrast, CH4 flames, while exhibiting smoother flame boundaries, are more sensitive to turbulence, resulting in increased wrinkling, especially under stronger turbulence conditions. The higher correlation between curvature and gradient of H2 flames indicates enhanced reactivity at the flame troughs, leading to faster flame propagation. However, increased turbulence can mitigate these effects. Hydrogen flames consistently exhibit higher equivalent flame speeds due to their higher thermo-diffusivity, and both hydrogen and methane flames accelerate under high turbulence conditions. These findings provide valuable insights into the distinct flame behaviors of hydrogen and methane, highlighting the importance of understanding the interactions between thermo-diffusive effects and turbulence in hydrogen-fueled engine combustion.

A new study published in Big Earth Data presents phenological metrics derived from Earth observation (EO) satellite time series—such as greening onset, senescence, and growing season length—which are essential for crop monitoring but challenged by the massive scale of EO data exceeding local processing capacities, and introduces a free, open-source Web Crop Phenology Metrics Service (WCPMS) built on the Brazil Data Cube platform for server-side extraction from large datasets. It further demonstrates the tool’s effectiveness by estimating soybean sowing dates in Brazil using phenological metrics and validating the results against field data.

A research paper by scientists from South China University of Technology designed a fabric-based ultrathin flexible microelectrode array with novel stimulation–inhibition electrode units that reduces current diffusion and improves focusing, improving tactile feedback accuracy and clarity.

The new research paper, published on Apr. 1 in the journal Cyborg and Bionic Systems, proposed a fabric-based microelectrode array (FMA) incorporating a stimulation–inhibition electrode unit structure, aiming to improve the precision of tactile perception, especially for applications in VR environments.

A research paper by scientists from Peking University introduced an octopus-inspired underwater gripper with rapidly tunable stiffness, integrated into an upward transport robot designed for efficient underwater object manipulation.

The new research paper, published on Mar. 31 in the journal Cyborg and Bionic Systems, unveil a soft robotic gripper that softens in 1.3 seconds and rigidifies in 0.8 seconds, enabling versatile grasping and silent vertical transport in cluttered underwater environments.

MEMS gyroscopes are expected to deliver stable, precise motion sensing in ever more demanding devices, yet hidden phase mismatches inside their control systems can quietly erode that precision.