Abstract The vast structural diversity of metal–organic frameworks (MOFs) and the ability to tailor the structures makes the materials applicable for a broad range of uses. Traditional bottom-up and top-down design approaches have enabled a... Read More
Abstract Intracellular polymerization in living cells motivated chemists to generate polymeric structures with a multitude of possibilities to interact with biomacromolecules. However, out-of-control of the intracellular chemical reactions... Read More
Abstract The intrinsic relationship between spin states and reactivity in peroxocobalt(III) complexes was investigated, specifically focusing on the influence of steric modulation on supporting ligands. Together with the previously reported... Read More
Abstract Chronic myeloid leukemia (CML), caused by BCR::ABL1 fusion gene, is known to regulate disease progression by altering the expression of genes. However, the molecular mechanisms underlying these changes are largely unknown. In this... Read More
The Department of Design at UNIST has secured international acclaim for its innovative designs at the prestigious Red Dot Design Award 2024. Among the noteworthy winners is Respa Chups, an innovative inhalation device designed specifically... Read More
Abstract With the drive toward the development of large-area organic solar cells (OSCs), there is a critical need for advanced fabrication techniques that ensure both their efficiency and scalability. In particular, a shift from toxic halog... Read More
Abstract Nonlinear intersubband polaritonic metasurfaces, which integrate giant nonlinear responses derived from intersubband transitions of multiple quantum wells (MQWs) with plasmonic nanoresonators, not only facilitate efficient frequenc... Read More
The UNIST Artificial Intelligence Graduate School (AIGS) announced the successful completion of the 2024 AI Technology Open Workshop, bringing together academia and industry to explore collaborative models for AI technology development. Thi... Read More
Abstract Accurately predicting tool wear is crucial for intelligent machining process monitoring, control, and quality improvement. Recent studies on tool wear prediction predominantly apply deep learning-based data-driven approaches that u... Read More
Abstract Transparent solar cells (TSCs) hold substantial potential as continuous energy generators, enabling their use in situations where conventional devices may not be feasible. However, research aimed at modularizing TSCs for the purpos... Read More
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