https://scholar.dgist.ac.kr/handle/20.500.11750/908 2026-04-04T12:38:45Z https://scholar.dgist.ac.kr/handle/20.500.11750/59915 Title: Stretchable p/n-Pair Thermoelectric Fibers Based on Core (Ag)-Shell (Ag2Se) Structure for Wearable Electronics Author(s): Kwon, Chaebeen; Lee, Sanghyeon; Cho, Sungjoon; Won, Chihyeong; Kim, Byeonggwan; Jang, Kyung-In; Lee, Taeyoon Abstract: The development of stretchable p/n-pair thermoelectric (TE) fibers holds significant promise for multifunctional wearable electronics, yet remains challenging due to complex processing and limited mechanical durability. Here, a novel strategy is presented for the facile fabrication of stretchable Ag@Ag2Se-based TE fibers using a selective in situ chemical reduction process, eliminating the need for thermal treatment or specialized equipment. The resulting fibers feature a robust core-shell architecture, with conductive Ag cores and n-type Ag2Se shells, achieving a Seebeck coefficient of -96.75 mu V K-1 under 100% strain and stable electrical conductivity under 200% strain. Notably, the fibers exhibit excellent cyclic stability with Delta V/V0 maintained within 1.75% under mechanical deformation. When patterned into p/n-pair arrays through localized chemical treatment, the fibers function as efficient energy harvesters and strain/temperature sensors. Integrated into wearable platforms, these fibers demonstrate simultaneous mechanical and thermal sensing and effective energy harvesting from body heat. This work establishes a versatile platform for scalable, miniaturized, and multifunctional TE fiber systems, advancing the future of smart textiles and wearable electronics. https://scholar.dgist.ac.kr/handle/20.500.11750/59280 Title: Biotic-Abiotic Interface Engineering for Peripheral Nerve Modulation and Repair Author(s): Jekal, Janghwan; Park, Jin Tae; Kim, Eunmi; Lee, Yoon Kyeung; Jang, Kyung-In Abstract: The peripheral nervous system (PNS) has emerged as a versatile and clinically accessible target for neuroengineering, offering unique advantages in modularity, surgical accessibility, and regenerative capacity. These characteristics have led to the development of peripheral nerve interfaces aimed at clinical implementation across therapeutic and prosthetic applications. Peripheral nerve interfaces involve a broad range of technologies designed to record, stimulate, or repair neural pathways. These technologies are increasingly converging toward systems that are not only surgically and functionally integrated, but also capable of adaptive, closed-loop control. Collectively, these developments represent an advancement in peripheral nerve interface design from passive or pre-programmed interventions to interactive, responsive, and personalized platforms for neural repair and modulation. This review highlights recent advances in biotic-abiotic interface engineering for peripheral nerve applications, encompassing wearable and implantable approaches, as well as addressing current challenges and discussing future perspectives. 2026-01-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/58996 Title: A soft neural interface with a tapered peristaltic micropump for wireless drug delivery Author(s): Lee, Hyeokjun; Song, Soojeong; Ha, Jeongdae; Lee, Yoon Kyeung; Jang, Kyung-In Abstract: Achieving precise, localized drug delivery within the brain remains a major challenge due to the restrictive nature of the blood-brain barrier and the risk of systemic toxicity. Here, we present a fully soft neural interface incorporating a thermo-pneumatic peristaltic micropump integrated with asymmetrically tapered microchannels for targeted, on-demand wireless drug delivery. All structural and functional components are fabricated from soft materials, ensuring mechanical compatibility with brain tissue. The system employs sequential actuation of microheaters to generate unidirectional airflow that drives drug infusion from an on-board reservoir. The nozzle-diffuser geometry of the microchannels minimizes backflow while enabling controlled, continuous delivery without mechanical valves. Fluid dynamics simulations guided the optimization of the microfluidic design, resulting in robust forward flow with minimal reflux. Benchtop validation in brain-mimicking phantoms confirmed consistent and programmable drug infusion. This platform represents a significant advancement in neuropharmacological research and therapeutic delivery for central nervous system disorders. 2025-07-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/58310 Title: Emerging fiber-based neural interfaces with conductive composites Author(s): Won, Chihyeong; Cho, Sungjoon; Jang, Kyung-In; Park, Jang-Ung; Cho, Jeong Ho; Lee, Taeyoon Abstract: Neural interfaces that enable bidirectional communication between neural systems and external devices are crucial for treating neurological disorders and advancing brain-machine interfaces. Key requirements for these neural interfaces are the ability to modulate electrophysiological activity without causing tissue damage in the nerve system and long-term usability. Recent advances in biomedical neural electrodes aim to reduce mechanical mismatch between devices and surrounding tissues/organs while maintaining their electrical conductivity. Among these, fiber electrodes stand out as essential candidates for future neural interfaces owing to their remarkable flexibility, controllable scalability, and facile integration with systems. Herein, we introduce fiber-based devices with conductive composites, along with their fabrication technologies, and integration strategies for future neural interfaces. Compared to conventional neural electrodes, fiber electrodes readily combine with conductive materials such as metal nanoparticles, carbon-based nanomaterials, and conductive polymers. Their fabrication technologies enable high electrical performance without sacrificing mechanical properties. In addition, the neural modulation techniques of fiber electrodes; electrical, optical, and chemical, and their applications in central and peripheral nervous systems are carefully discussed. Finally, current limitations and potential advancements in fiber-based neural interfaces are highlighted for future innovations. © 2025 The Royal Society of Chemistry. 2025-05-31T15:00:00Z