纤维芯片：把大规模集成电路装进“头发丝”

Core Viewpoint - The research team led by Professor Peng Huisheng from Fudan University has developed a novel "fiber chip" that integrates large-scale circuits into elastic polymer fibers, offering unique advantages for emerging industries such as brain-machine interfaces, electronic textiles, and virtual reality [1][2]. Group 1: Research and Development - The fiber chip represents a significant breakthrough in the field of fiber devices, which has garnered international attention since the team first introduced the concept [2]. - The team has created over 30 types of new fiber devices with functionalities such as power generation, energy storage, and bio-sensing since 2008, with some technologies already in preliminary application [2]. - The integration of different functional fiber devices into a fiber electronic system is essential for large-scale application, similar to the evolution of smartphones and computers [2]. Group 2: Technical Achievements - The fiber chip's electronic components can achieve a density of 100,000 transistors per centimeter, enabling both digital and analog circuit operations [3]. - The fiber chip maintains performance stability even after extensive stress tests, including over a hundred washes and exposure to high temperatures [3]. - The design and fabrication methods of the fiber chip are compatible with existing photolithography processes, potentially easing future industrialization [7]. Group 3: Applications and Future Prospects - In the field of brain-machine interfaces, the fiber chip can integrate sensing, signal processing, and stimulation output functions into a single fiber, providing new tools for neuroscience and neurological disease treatment [7]. - The fiber chip enables the creation of fully flexible electronic textiles without the need for external processors, allowing for dynamic pixel displays within the fabric [7]. - The fiber chip can enhance virtual reality applications by providing flexible and breathable smart tactile gloves that accurately simulate different mechanical sensations [8]. - The research team aims to continue improving device integration density and information processing capabilities while establishing a proprietary intellectual property system for collaboration with industry [8].