Abstract Atomic layer modulation (ALM) presents a novel approach for controlling the stoichiometry of platinum-ruthenium (PtRu) alloys rather than a tedious atomic layer deposition (ALD) supercycling multielement ALD process. This method se... Read More
A research team, affiliated with UNIST has made a significant breakthrough in sustainable technology through the development of a method to convert carbon dioxide (CO₂) into methanol—a process that could play a vital role in reducing greenh... Read More
Abstract Motivated by the efficiency of spherical harmonics (SH) in representing various physical phenomena, we propose a Holistic panoramic 3D scene Understanding framework using Spherical Harmonics, dubbed as HUSH. Our approach focuses on... Read More
Abstract In contrast to the substantial efforts dedicated to additive engineering in the field of perovskite solar cells (PSCs), the exploration of volatile solid additives has received surprisingly little attention. This study introduces a... Read More
UNIST and Silla University have jointly announced a strategic partnership to implement an innovative animal-assisted therapy (AAT) program on their respective campuses. The formal agreement was signed on June 25 at UNIST, in a ceremony atte... Read More
UNIST is pleased to announce the successful participation of its Graduate School of Semiconductor Materials and Devices Engineering students in the ‘2025 Future Chips Academy: The Netherlands-Korea Joint Education Program on Cutting-E... Read More
Abstract Vanadium oxide (VOx) based memristor is a promising candidate for next-generation non-volatile memory and radio-frequency (RF) switches due to its compatibility with wafer-level integration and high-frequency operation. This work d... Read More
On June 27, UNIST Industry Innovation Team held the opening ceremony for the start of new academic term for its ‘AI Novatus Academia’ at the Pioneers Campus, marking the commencement of a specialized program designed to cultivat... Read More
Abstract While prior methods in Continuous Spatial-Temporal Video Super-Resolution (C-STVSR) employ Implicit Neural Representation (INR) for continuous encoding, they often struggle to capture the complexity of video data, relying on simple... Read More
UNIST announced the successful completion of the second UNIST Industry-Academic Convergence Forum, held at the Market Hall of the University-Industry Cooperation Building. Under the theme of “Future Mobility,” the event facilita... Read More
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