Polarization of photons plays a key role in quantum optics and light-matter interactions, however, it is difficult to control in nanostructures. Here scientists reveal polarization control of photons using photonic molecules (PMs) composed of two coupled photonic crystal nanobeam cavities. With an evanescent wave coupling, PMs directly control the local optical field that couples with the emitter, indicating a high efficiency in polarization control and a significant potential for applications in spin-resolved cavity quantum electrodynamics.

The development of color routers (CRs) realizes modulation of photon momentum on the frequency and spatial domains. Scientists in China demonstrate an active manipulation of dichromatic photon momentum via electron-induced CRs, where the radiation patterns are manipulated at nanoscale precision within a single nanoantenna unit. Moreover, an encrypted display device based on programmable modulation of the CR array is designed and implemented. This technique will find applications in photonic devices and quantum information technologies. 

The work provides a comparative evaluation of the characteristics of various large DNA fragment assembly strategies used in different host cells, focusing on their limitations, time requirements, and the respective advantages and disadvantages of each approach. 

Huanglongbing (HLB) is a devastating citrus disease. Prof. YE Jian's team at the Institute of Microbiology of the Chinese Academy of Sciences has identified the first citrus resistance mechanism to HLB and developed antimicrobial peptides effective against the disease using artificial intelligence (AI) technology.

A new paper in Engineering titled “Machine Memory Intelligence: Inspired by Human Memory Mechanisms” presents an approach to artificial intelligence. It aims to solve the problems of large models like ChatGPT, such as high data and power consumption, catastrophic forgetting, and weak logical reasoning. The researchers introduce “machine memory” and the machine memory intelligence (M²I) framework, exploring related key issues and progress to improve artificial intelligence (AI) capabilities.

Scientists from Sichuan University have developed a new platform that combines large language models and quantum computing to predict Salmonella antimicrobial resistance. Their research, published in Engineering, aims to address the inefficiencies of traditional prediction methods and the challenges posed by high-dimensional data and sample imbalance.

As the world races toward carbon neutrality, electric vehicles (EVs) have emerged as a cornerstone of sustainable transportation, particularly in developing nations like China. However, simply switching to EVs isn't enough—how we drive these vehicles significantly impacts their ecological benefits. Researchers have now developed an innovative approach using "graph spectrums" to visualize and analyze driving behaviors, revealing the hidden relationships between driving patterns and energy consumption in electric vehicles.

As the world transitions from fossil fuels to clean energy storage systems, lithium-ion batteries (LIBs) have become increasingly vital across multiple industries. While larger battery structures offer promising solutions for enhanced energy density, they present significant challenges in electrolyte filling and wetting processes. Researchers from the Tsinghua University have now conducted groundbreaking research to understand the complex relationship between electrode microstructure and electrolyte wetting, addressing a critical bottleneck in battery manufacturing.