Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By introducing signed distance fields and three-dimensional convolutional neural networks, this method can significantly accelerate electrode design while maintaining high accuracy. It is widely applicable to fuel cells, water electrolyzers, flow batteries, etc.

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials

A novel strategy was designed for guiding supramolecular macrocycles into nanoscale chiral topological toroids, establishing hierarchical self-assembly pathways for advanced chiroptical materials

A research paper just published in Science China Life Sciences reports that Christensenella tenuis alleviates endotoxemia and metabolic disorders in obese mice via inhibition of intestinal lipopolysaccharide (LPS) translocation. The study uncovers a novel probiotic mechanism and suggests therapeutic potential for metabolic diseases.

Rapid progress of advanced laser sources have accelerated the development of laser ranging technologies, focusing on two comprehensive strategies: one is appealing to the promotion of measurement performances, and the other is simplifying the complexities of system architectures. Beyond the coherent-light counterpart, optical chaos originating from the laser nonlinear dynamics has fueled scenarios toward the parallel ranging for breaking the severe channel jamming. It has raised one striking question of how the “parallel chaos” could be upgraded and then reshape the light detection and ranging (LiDAR) ecosystem. Here, we introduce a multi-color pulsed chaos, by leveraging the accessible noise-like evolution in nonlinear dissipative systems to elevate a “single-pixel” architecture for parallel ranging. By the spectro-temporal manipulation, the broadband chaos can be tailored into multi-color parallelization without high-speed optoelectronics. Based on this chaos, the parallel ranging system achieves submillimeter-level ranging accuracy and throughput of hundreds of megahertz, as well as enabling a simplified architecture of a single transmitter, reference, and receiver. Our approach emphasizes the advancement in both the parallel ranging and the single-pixel architecture. Notably, the pulsed form of optical chaos offers revolutionary potential and catalyzes the progression of massively parallel ranging towards a new era.

This work presents a miniaturized spectrometer spanning 5.2 THz across the full C-band by pairing a GHz-tunable laser with a stabilized Si₃N₄ soliton microcomb. The system achieves kHz-level frequency resolution and retrieves both amplitude and phase—resolving molecular absorption lines in a gas cell and extracting dispersion from integrated photonic devices. The demonstrated stability and precision, along with a simplified architecture, point toward fully integrated, chip-scale ultrabroadband spectroscopy in future implementations.

This discovery paves the way for more cost-effective and efficient catalysts that could significantly lower the barriers to industrial-scale CO₂ conversion processes. The technology holds promise for contributing to the development of renewable energy sources, reducing reliance on fossil fuels, and mitigating the impacts of climate change. It may also inspire further research into other catalyst-support combinations, potentially leading to breakthroughs in various electrochemical applications.

This study reveals unique insights into improving biliary cold preservation by exploring the natural cold tolerance mechanisms of hibernating mammals. Researchers established Syrian hamster intrahepatic cholangiocyte organoids (shICOs), which demonstrated superior resistance to cooling-rewarming stress compared to mouse-derived organoids (mICOs). Enhanced iron homeostasis and anti-ferroptosis capacity in shICOs suggest a novel strategy to reduce bile duct injury during liver transplantation.

This study constructs a spatiotemporal single-nucleus transcriptomic atlas of neurons in the entorhinal cortex–hippocampal (EC-HPC) circuit during Alzheimer’s disease (AD) progression. By performing Smart-seq2-based single-nucleus RNA sequencing on neurons from APP/PS1 transgenic mice and wild-type controls across different brain regions and disease stages, the study reveals two distinct neuronal populations associated with AD pathology: progressively lost EC-stellate neurons and expanding GFAP⁺ neurons with glia-like features. These findings highlight neuronal identity changes and energy metabolism dysfunction in AD, offering new insights into early diagnosis and intervention.