In infrastructure construction such as highways and railways, compaction is a critical factor determining the durability of projects. Traditional roller operations rely on operator experience, often leading to insufficient or excessive compaction, which poses safety risks to the project.

This technology enables wearable devices to achieve precise gesture recognition and robotic arm control in complex environments such as intense exercise and underwater environments, opening new doors for fields such as virtual reality, rehabilitation medicine, and industrial rescue.

This technology enables wearable devices to achieve precise gesture recognition and robotic arm control in complex environments such as intense physical exercise and underwater conditions, opening new doors for fields like virtual reality, rehabilitation medicine, and industrial rescue.

Assistant Professor Du Bowen from the School of Physics and Optoelectronic Engineering at Shenzhen University published a research paper titled "Ultrasensitive optoelectronic biosensor arrays based on twisted bilayer graphene superlattice" in the top-tier comprehensive journal *National Science Review* (IF=17). The study introduces a novel ultrasensitive optoelectronic biosensor that leverages the superlattice properties of twisted bilayer graphene (tBLG) and plasmonic resonance effects to achieve amplification-free detection of biomolecules at the attomolar level.

Minor abnormalities in equipment vibration can become "signal flares" for safety hazards in reaction vessels in petrochemicals, ventilation systems in coal mines, or gearboxes in wind power equipment. Especially in hazardous environments with flammable and explosive gases or dust, exceeding vibration limits can not only cause equipment shutdown, but also potentially lead to explosion accidents. Anti knock vibration sensors, as the "sensory nerves" of industrial safety, can accurately capture vibration data and resist harsh environments and potential risks, becoming essential equipment for high-risk industrial scenarios.

In the field of flexible sensing and health monitoring, achieving a wide pressure range, ultra-high sensitivity, and long-term signal stability has always been a technical challenge. Traditional sensors are prone to structural hardening and signal drift under high loads, limiting their reliable application in dynamic biomechanical monitoring. Although some studies have improved performance through microstructure or gradient designs, most still face challenges such as complex fabrication, unstable interfaces, or uneven responses.