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- Yonsei ME Department Successfully Concludes 2025 Windter Overseas Intensive Lecture Series
- Yonsei ME Department Successfully Concludes 2025 Windter Overseas Intensive Lecture Series The School of Mechanical Engineering at Yonsei University successfully hosted the “2025 Winter Overseas Intensive Lecture Series” from January 26 to 30. This year’s program, titled “Making Additive Manufacturing: Materials, Light, Law, and Design across Borders,” featured a multidisciplinary team of instructors, including Dr. Sanghoon Nam (MIT RLE), Dr. Kyunghan Hong (MIT Lincoln Laboratory), Attorney Jongwoo Baek (United One Law Group), Architect Wonyoub Seok (Cambridge Seven), and Prof. Seok Kim (Yonsei University). A total of 30 undergraduate and graduate students participated in the program, which covered a broad spectrum of topics ranging from the fundamentals of additive manufacturing to advanced applications, as well as interdisciplinary extensions into intellectual property, legal considerations, and architectural design. In particular, students had the opportunity to learn about the latest research trends in additive manufacturing across diverse fields and to strengthen their practical research capabilities through case-based lectures and interactive discussions. Yonsei University’s School of Mechanical Engineering plans to continue organizing overseas intensive lecture series by inviting leading global scholars, with the goal of providing students with opportunities to learn cutting-edge convergent technologies and to expand international academic and research collaborations.
- 기계공학부 2026.02.02
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- Yonsei University College of Engineering Successfully Concludes Visit to Universitas Indonesia
- Yonsei University College of Engineering Successfully Concludes Visit to Universitas Indonesia The College of Engineering at Yonsei University successfully conducted an academic visit to the College of Engineering at Universitas Indonesia (UI) from January 6 to 7, engaging in discussions on academic exchange and collaborative initiatives. The visit was attended by seven faculty members from Yonsei University’s College of Engineering. During the visit, the two colleges jointly hosted an international workshop, sharing research achievements and educational programs across various engineering disciplines. In particular, Professor Seok Kim from the Department of Mechanical Engineering introduced Yonsei University’s graduate program in mechanical engineering and discussed strategies to expand graduate student exchange, helping to establish a practical foundation for sustained academic and personnel collaboration. In addition, faculty members from both institutions exchanged views on discipline-specific research and development collaboration, joint research initiatives, and opportunities for international joint funding, reaching a shared understanding on building a sustainable global research partnership. The Yonsei delegation also participated in a site visit in Jakarta, gaining firsthand insight into key urban challenges such as urbanization, transportation, environmental sustainability, and energy. This experience reaffirmed the role of engineering research in addressing societal challenges and contributing to global problem-solving. Yonsei University’s College of Engineering plans to continue advancing the internationalization of engineering education and strengthening its global research competitiveness through strategic partnerships with leading universities worldwide.
- 기계공학부 2026.01.26
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- 2026 Yonsei University Department of Mechanical Engineering Industry Insight Forum
- 2026 Yonsei University Department of Mechanical Engineering Industry Insight Forum The Department of Mechanical Engineering at Yonsei University hosted the 2026 Industry Insight Forum on January 7, 2026. The forum invited alumni currently active across major industrial sectors in Korea, who shared their professional experiences and insights on research competency development and career planning with undergraduate and graduate students. Prior to the forum, an opening address was delivered by the department chair, followed by the 2025 BK21 Research Impact & Innovation Awards ceremony. The award was established to recognize outstanding graduate students who have demonstrated exceptional academic impact and innovation in socially oriented mechanical engineering research. A total of four students were selected as award recipients and were presented with certificates and scholarships. During the forum, speakers representing the energy, defense, manufacturing, bio, and ICT sectors delivered talks based on their respective academic and industrial backgrounds. Their presentations focused on topics such as recent industry and technology trends as well as practical guidance on research activities and graduate school life. The Department of Mechanical Engineering noted that the forum served as “a meaningful platform connecting alumni and current students,” and announced plans to continue inviting experts from diverse fields in the future in order to further strengthen academic–industry linkages and expand related programs.
- 기계공학부 2026.01.26
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220
- Development of a Residue-Free Peeling Mechanism for Liquid Metal Oxide via Contact Angle Control
- Development of a Residue-Free Peeling Mechanism for Liquid Metal Oxide via Contact Angle Control A research team led by Professor Wonjung Kim of the Department of Mechanical Engineering at Yonsei University has developed a novel interfacial mechanics mechanism that enables residue-free peeling of the oxide layer formed on liquid metals (EGaIn). This work was carried out through an international collaboration with Dr. Jeong Gon Son of the Korea Institute of Science and Technology (KIST) and Professor Michael Dickey of North Carolina State University (First author: Dr. Sangyun Jung). The research team demonstrated, through combined experimental and theoretical analyses, that the contact angle of the liquid metal plays a critical role in determining the success of oxide layer peeling. When a sufficiently large contact angle is maintained, the oxide layer can be cleanly detached from the substrate without leaving residue. In contrast, at small contact angles, the oxide layer undergoes localized fracture, resulting in residual contamination on the substrate. Nanoscale mechanical analysis near the contact line further elucidated the physical origins of this behavior. Based on this mechanistic understanding, the team also proposed a roll-to-roll transfer printing concept that maintains a large contact angle throughout the peeling process. Using this approach, they experimentally demonstrated damage-free and residue-free transfer of liquid metal patterns. This provides important design guidelines for improving the reliability of liquid metal-based soft electronics and flexible electronic manufacturing processes. This study was conducted as an international collaborative effort, and the results were published in Nature Communications (Impact Factor: 15.7) in December 2025.
- 기계공학부 2026.01.26
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219
- Lab-in-a-cartridge for real-time detection of tuberculosis via precise measurement of urinary lipoarabinomannan
- Lab-in-a-cartridge for real-time detection of tuberculosis via precise measurement of urinary lipoarabinomannan The research team led by professor Hyo-Il Jung from the Department of Mechanical Engineering (co-first authors: Woong Heo, Qingyang Wang, and Seoyeon Choi), developed a rotary lab-in-a-carriage (LIC) system for diagnosing tuberculosis that can be applied in the field without centralized laboratory equipment. The possibility of diagnosing distributed tuberculosis was suggested by integrating pump-free fluid control, magnetic force-based biomarker concentration, and enzyme signal amplification into a single cartridge to detect trace amounts (0.01 pg/mL) of LAM in urine within 40 minutes. It achieved sensitivity of 92% and specificity of 88% in clinical practice, meeting WHO recommended criteria (sensitive >90% and specificity >70%). The achievement was published in Nature Communications (IF 15.7, top 7.4% in multidisciplinary science) as of November 21, 2025. In addition, the excellence of this study was demonstrated to the extent that it was selected as the recipient of the BK21 Research Impact & Innovation Awards. The link: https://doi.org/10.1038/s41467-025-65217-w
- 기계공학부 2026.01.26
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218
- Development of Physics-embedded AI Technology for Prediction and Mechanism Analysis of Dendrite Formation in Lithium Met
- Development of Physics-embedded AI Technology for Prediction and Mechanism Analysis of Dendrite Formation in Lithium Metal Batteries A research team, led by Professor Joon Sang Lee from the Department of Mechanical Engineering at Yonsei University (co-first authors of this study are Se Young Kim and Soon Wook Kwon), has developed an AI model capable of precisely analyzing and predicting the mechanism of dendrite formation, which causes performance degradation in lithium-metal batteries. By combining a 1D convolutional neural network with physics-based voltage embedding technology, the study successfully reproduced internal physical phenomena with a precise error rate of 1.53%. Furthermore, it reduced the processing time from the 18 hours required by conventional molecular dynamics simulations to just 25 minutes, representing a 97.7% reduction. Going beyond result prediction, the team achieved mechanism-based diagnosis by tracking atomic-level ion behavior and charge distribution in real-time, enabling the identification of the root causes of battery degradation. This technology, which allows for the in-depth diagnosis of atomic-scale changes, is expected to become a critical tool for significantly accelerating the material screening and design processes for next-generation energy systems, such as all-solid-state and lithium-sulfur batteries. The research findings were published in November 2025 in npj Computational Materials (impact factor: 11.9, JCR top 9.7%), a reknowned international journal in the field of batteries and materials. The link: https://www.nature.com/articles/s41524-025-01824-x?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20251118&utm_content=10.1038/s41524-025-01824-x
- 기계공학부 2026.01.26
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217
- Strain-Insensitive Heater for Wearable Healthcare and Haptic Interfaces (2025.11.11)
- Strain-Insensitive Heater for Wearable Healthcare and Haptic Interfaces Professor Jongbaeg Kim’s research team in the Department of Mechanical Engineering developed a strain-insensitive heater by integrating vertically aligned carbon nanotube (VACNT) bundles onto a stretchable substrate, maintaining stable heating performance even under large mechanical deformations. Conventional stretchable heaters suffer from significant variations in heating temperature as tensile strain increases due to electrical contact loss. By combining the entangled network structure of VACNTs with a wrinkled surface design, the research team achieved excellent heating characteristics, with temperature variations kept within 5% even under tensile strains of up to 350%. In addition, the device demonstrated outstanding durability, exhibiting stable operation over more than 10,000 stretching cycles at 200% strain. Furthermore, the team successfully demonstrated a wearable thermotherapy device attachable to finger joints and a multimodal tactile display capable of simultaneously delivering pressure and thermal stimuli, highlighting the potential of this technology for wearable healthcare and next-generation haptic interfaces. This work was published in the renowned international journal ACS Nano (Impact Factor: 16.1) in the field of nanoscience. The link: https://pubs.acs.org/doi/full/10.1021/acsnano.5c12667
- 기계공학부 2026.01.26
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216
- Development of Ultra-Sensitive Ethanol Gas Sensors and Real-Time Breathalyzer Systems Based on Ruthenium Dioxide Nanoshe
- Development of Ultra-Sensitive Ethanol Gas Sensors and Real-Time Breathalyzer Systems Based on Ruthenium Dioxide Nanosheets Professor Jongbaeg Kim’s Research Team in the Department of Mechanical Engineering (Co-first author: Ph.D student Wonkeun Park) has developed a highly senstivie ethanol gas sensor utilizing ruthenium dioxide (RuO2) nanosheets and implemented a real-time alcohol monitoring system. The research team maximized the responsiveness of the gas sensor by combining two-dimensional RuO2 nanosheets, synthesized via an exfoliation process, with tin dioxide (SnO2) thin films. The developed sensor demonstrated a sensitivity more than three times higher (a 337% improvement) toward ethanol gas compared to conventional pure SnO2 sensors. In particular, it proved its high-performance capabilities by precisely detecting ultra-fine concentrations down to the 5 ppb (parts-per-billion) level. Furthermore, the team adopted a suspended membrane structure integrated with a micro-heater, allowing for stable, long-term operation with ultra-low power consumption of less than 30 mW. When applied to actual breath alcohol environments, the system showed a high correlation with commercial breathalyzers, confirming its feasibility for real-time Breath Alcohol Concentration (BrAC) monitoring. Recognized for its excellence, the results of this study were published in November 2025 in 'Microsystems & Nanoengineering' (Impact Factor: 9.9), a world-renowned journal and sister publication of Nature. The link: https://www.nature.com/articles/s41378-025-01055-6
- 기계공학부 2026.01.26
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- Predicting Friction and Contact with Just One Photo: A Deep Learning Breakthrough
- Predicting Friction and Contact with Just One Photo: A Deep Learning Breakthrough A research team led by Professor Yong Hoon Jang (First Author: Research Professor Ilkwang Jang) from the Department of Mechanical Engineering at Yonsei University has achieved a significant milestone by publishing their research in Facta Universitatis, Series: Mechanical Engineering, a world-renowned journal in the field of mechanical engineering. This journal is ranked within the top 2.19% (Q1) according to the Journal Citation Reports (JCR). The published paper, titled Prediction of Contact Distribution on Rough Surfaces Using Deep Learning Algorithms, is garnering attention for its innovative approach of applying deep learning image segmentation techniques to contact mechanics within the field of tribology. The research team developed a U-Net-based deep learning model capable of precisely predicting the contact distribution of complex rough surfaces using only surface height map images as input. The developed algorithm maximizes computational efficiency by achieving prediction accuracy comparable to conventional numerical models while reducing computation time by over 95%. Furthermore, the model demonstrated its reliability by accurately predicting physical properties, such as electrical contact resistance, under various conditions including changes in load and scale. This achievement is significant as it secures a core technology capable of real-time prediction of key design indicators in industrial applications, such as friction, wear, and thermal/electrical contact resistance. The academic community and related industries evaluate this research as a key contribution to accelerating the realization of large-scale simulations and Digital Twins. The link: https://doi.org/10.22190/FUME250307026J
- 기계공학부 2026.01.26
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- Yonsei–NTU Joint Workshop in Mechanical Engineering Held at Yonsei University (2025.12.23)
- Yonsei–NTU Joint Workshop in Mechanical Engineering Held at Yonsei University On December 23, the Department of Mechanical Engineering at Yonsei University hosted the Yonsei–NTU Joint Workshop in Mechanical Engineering, welcoming faculty members from the Department of Mechanical Engineering at National Taiwan University (NTU). The workshop was organized to strengthen academic exchange between researchers in mechanical engineering at both institutions and to establish a foundation for mid- to long-term collaborative research and faculty exchange. The program began with opening remarks by the Dean of the College of Engineering at Yonsei University, followed by research presentations by faculty members from both universities, a poster session, and open discussions. In particular, in-depth discussions were held on research areas in which both institutions share strong expertise, including AI-enabled mechanical engineering and next-generation manufacturing technologies. Through these exchanges, participants identified potential opportunities for joint research projects and reached a shared understanding on the importance of sustaining and expanding academic collaboration. Yonsei University and NTU previously held the first joint workshop at NTU in January. Building on the momentum of the workshop in Seoul, both departments plan to continue regular academic exchanges and strengthen collaborative research activities. The Department of Mechanical Engineering at Yonsei University expects this workshop to further solidify the partnership between the two institutions and to serve as a stepping stone toward building a leading engineering research network in Asia.
- 기계공학부 2025.12.26