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    • Innovative Dry-Process Thick-Electrode Manufacturing Technology to Extend EV Range and Reduce Battery Costs 5 days ago
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    • [2026 UNIST Matriculation] “Design Questions the World Has Never Seen!” 7 days ago
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    • [2026 Matriculation] UNIST Welcomes Class of 2030! 7 days ago
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    • Flower Beds at UNIST Given A New Lease of Life! 5 years ago
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    • Innovative Dry-Process Thick-Electrode Manufacturing Technology to Extend EV Range and Reduce Battery Costs 5 days ago
    • Revolutionary Reusable MoS₂ RF Biosensor Enables Cost-Effective Liquid Biopsies for Early Cancer Detection 6 days ago
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UNIST and SKKU Collaborate on Novel Bioelectronics Device Based on Hydrogel-Elastomer Conductive Nanomembranes

The findings of this research have been published online in Nature Nanotechnology (Impact Factor= 34.9) on December 10, 2025.

Transformable and imperceptible nanomembranes enable seamless integration of electronics with living tissue.

UNIST and SKKU Collaborate on Novel Bioelectronics Device Based on Hydrogel-Elastomer Conductive Nanomembranes

A research team from UNIST and the IBS Center for Neuroscience Imaging Research (CNIR) within Sungkyunkwan University (SKKU), has introduced a new class of ultra-thin, flexible bioelectronic material that can seamlessly interface with livin... Read More

Feb 06, 2026 By JooHyeon Heo Research
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UNIST and UC Berkeley Develop Microbial System to Convert CO₂ into Eco-Friendly Butanol

The research was published in the online version of Bioresource Technology on December 24, 2025.

UNIST and UC Berkeley Develop Microbial System to Convert CO₂ into Eco-Friendly Butanol

Abstract The efficient valorization of gaseous C1 feedstocks, such as CO2, into liquid fuels presents a significant process engineering challenge. Here, we design and demonstrate an integrated chemostat system for the continuous synthesis o... Read More

Feb 05, 2026 By JooHyeon Heo Research
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UNIST Held 2026 Freshman English Camp to Support Academic Transition

The 2026 Freshmen English Camp took place at UNIST from January 20 to 30, 2026.

UNIST Held 2026 Freshman English Camp to Support Academic Transition

UNIST School of Liberal Arts successfully completed its 2026 Freshmen English Camp, a five-day, on-campus program designed to strengthen English proficiency and support the academic transition of prospective freshmen. Held from January 20 t... Read More

Feb 04, 2026 By JooHyeon Heo News
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New Adaptive PID Control Allows Industrial Robots to Handle Sudden Heavy Loads without Vibrations

Their findings have been published in IEEE/ASME Transactions on Mechatronics on January 13, 2026.

New Adaptive PID Control Allows Industrial Robots to Handle Sudden Heavy Loads without Vibrations

Abstract Proportional-integral-derivative (PID) equipp-ed controllers are widely used in industrial robots potentially facing substantial payload and environmental variations. Their widespread use may impede the implementation of advanced r... Read More

Feb 04, 2026 By JooHyeon Heo Research
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UNIST 2026 Faculty Workshop Focuses on Vision 2050 and Future Research Strategy

Collaborating Professors Sedol Lee, Ji Young Lee, and Ayoung Kim were introduced, along with 17 newly appointed faculty members.

UNIST 2026 Faculty Workshop Focuses on Vision 2050 and Future Research Strategy

UNIST held its 2026 Faculty Workshop from January 29 to 30 at Skybay Hotel Gyeongpo, Gangneung, bringing together faculty members to review institutional achievements and discuss UNIST’s future direction. The two-day workshop focused... Read More

Feb 02, 2026 By JooHyeon Heo News
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New Steel Processing Technique Extends EV Range Without Increasing Battery Capacity

The findings of this study have been published in the Journal of Materials Science & Technology (JMST) on December 31, 2025.

New Steel Processing Technique Extends EV Range Without Increasing Battery Capacity

Abstract Reducing iron loss in non-oriented electrical steels is critical for enhancing the efficiency of high-performance electric machines. While bulk microstructural factors such as crystallographic texture and grain size are well-establ... Read More

Feb 02, 2026 By JooHyeon Heo Research
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New Study Unveils Ultra-High Sensitivity Broadband Flexible Photodetectors

The findings of this research have been published in the online version of Advanced Functional Materials on December 22, 2025.

New Study Unveils Ultra-High Sensitivity Broadband Flexible Photodetectors

Abstract Side-chain engineering, a powerful approach to tune molecular properties and charge transport, has to the best of our knowledge never been applied to n-type semiconductors in perovskite-organic heterojunction photodetectors (POH-PD... Read More

Jan 30, 2026 By JooHyeon Heo Research
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UNIST and HHI-TMC Join Hands to Advance SMR Technology and Cultivate Specialized Talents

The signing ceremony MOU between UNIST Department of Nuclear Engineering and HHI-TMC took place on January 28, 2025.

UNIST and HHI-TMC Join Hands to Advance SMR Technology and Cultivate Specialized Talents

UNIST has signed a strategic partnership with Hyundai Heavy Industries Turbomachinery Co., Ltd. (HHI-TMC), a Duksan Group affiliate, to advance core technologies for small modular reactors (SMRs) and strengthen talent development in the nex... Read More

Jan 29, 2026 By JooHyeon Heo News
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New Study Unveils High-Voltage Power Generator Inspired by Electric Rays

The findings of this research have been published online in Advanced Energy Materials on December 8, 2025.

New Study Unveils High-Voltage Power Generator Inspired by Electric Rays

Abstract The growing demand for sustainable power sources in distributed electronics and wearable devices requires stable, scalable, and maintenance-free energy harvesters. However, most existing systems rely on mechanical deformation, envi... Read More

Jan 29, 2026 By JooHyeon Heo Research
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New Study Mathematically Defines Key Conditions for Improving AI Model Robustness through Data Augmentation

This work has been accepted for presentation at the AAAI-26—one of the most prestigious international conferences in the field of AI.

New Study Mathematically Defines Key Conditions for Improving AI Model Robustness through Data Augmentation

Abstract Model robustness indicates a model’s capability to generalize well on unforeseen distributional shifts, including data corruptions and adversarial attacks. Data augmentation is one of the most prevalent and effective ways to... Read More

Jan 29, 2026 By JooHyeon Heo Research
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  • New Study Unveils High-Voltage Power Generator Inspired by Electric Rays

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