Conductive hydrogels from ionic liquids are widely used in soft electronics and solid electrolytes due to their high flexibility and conductivity. However, engineering such hydrogels with simultaneous biocompatibility, recyclability, excellent conductivity, stretchability, and toughness for different soft electronic applications remains challenging. This study presents a simple strategy to fabricate tough, biocompatible, and recyclable conductive hydrogels based on polyvinyl alcohol PVA and 1-butyl-3-methylimidazolium tetrafluoroborate for highly stretchable strain sensors and all-in-one supercapacitors. These hydrogels can also be recycled to make new strain sensors with consistent performance in terms of linear sensitivity, durability, and low hysteresis. This simple design concept opens up new avenues for the development of the next generation "green" wearable and implantable electronic devices.

A team from Jiuhua Laboratory in China has developed a novel "Electronic Structure-Infused Network (ESIN)" model that accurately predicts the photoluminescence quantum yield (PLQY) of organic thermally activated delayed fluorescence (TADF) materials. By integrating molecular geometry and electronic structure, ESIN enhances the understanding of the luminescent process and provides insights for optimizing TADF material design,  accelerating the exploration of high-performance OLEDs.

Neuromorphic vision hardware, embedded with multiple functions, has emerged as a potent platform for reducing redundant data shuffling and implementing processing tasks. Scientists in China have designed optoelectronic memory, which combines sensing, integration, and memory. Thanks to the unique underlying mechanism, optoelectronic memory exhibits a record photomemory speed and broadband application range. With no motion blur, the technique is expected to enable precise moving target tracking and recognition, underscoring its superiority in intelligent perception.

The NJUST research group of Prof. Qian Chen and Prof. Chao Zuo have reported a novel learning-based ultrafast three dimensions (3D) imaging technique, termed single-shot super-resolved fringe projection profilometry (SSSR-FPP), which enables ultrafast 3D imaging at 100,000 Hz. SSSR-FPP exploits the significant speed gain achieved by reducing the imaging window of conventional high-speed cameras while "regenerating" the lost spatial resolution with deep learning, resulting in a boost in 3D frame rate up to more than one order of magnitude without compromising spatial resolution.

Chiral transport has significant potential applications in optical systems and holds promise in fields like optical communications and sensing. However, current on-chip chiral transport devices are static, which limits their practical use. This work introduces a polarization-controlled chiral transport method, experimentally demonstrating that different polarizations can produce controllable mode outputs. This provides new insights for developing on-chip reconfigurable and high-capacity chiral transport devices.

This study shows that there is a complex and close interaction between plants and the root microbiota in nutrient utilization. Environmental nutrient conditions and plant nutrient-related genes jointly regulate the composition and assembly of the root microbiota, while the root microbiota significantly affects the plant's nutrient utilization efficiency by improving nutrient availability and regulating plant hormones.

This study introduces a Semantic Structure-Aware model to enhance Class Activation Mapping for image classification, achieving state-of-the-art performance in weakly-supervised tasks without extra training.

A groundbreaking study has uncovered a fascinating connection between the circadian rhythms of tea plants and the microbial communities in their rhizosphere, providing new insights into nutrient cycling.