A research paper by scientists at Beijing Institute of Technology and City University of Hong Kong presented a versatile electrodynamics simulation model designed to analyze the driving forces of partially filled electrodes to optimize the structural parameters of Digital microfluidic chips.

Recently, a research team from Shanghai Institute of Optics and Fine Mechanics (SIOM), Chinese Academy of Sciences, published a groundbreaking study in Ultrafast Science, demonstrating a novel Full-Aperture Grating Compressor (FAGC). This innovation overcomes critical limitations in traditional 4-grating compressors and provides key technical support for achieving single-channel 100-petawatt (PW) ultra-intense ultrafast lasers, a milestone in extreme physics research.

In the past several decades, significant progress has been made in controlling molecular chirality, as evidenced by the several Nobel Prizes in chemistry awarded in this area, particularly for advancements in the asymmetric catalytic synthesis of molecules with central and axial chirality. However, the exploration of new types of chirality has been largely stagnant for more than half a century, likely due to the complexity and challenges inherent in this field. Prof Li and Liang’s groups at Texas Tech University present the discovery of a novel type of chirality—staircase chirality.

Mesoscale eddies can affect how sound waves propagate in the ocean, depending on their size, speed, current direction and location. Understanding these effects are critical for accurate underwater target detection and long-range communication. Recent measurements of three dipole eddies pairs from the South China Sea have helped characterize the effects of these currents on sound wave travel and models have subsequently demonstrated how convergence zones and acoustic transmission loss differ between movement through single and dipole eddies.

A research paper by scientists at Shanghai Jiao Tong University presented a novel channel-wise cumulative spike train image-driven model (cwCST-CNN) for hand gesture recognition.