The development of a chlorine-resistant reverse osmosis membrane has been the industry's holy grail for the past decades. In this paper, a novel polyester TFC-RO membrane with remarkable water permeability, high rejection for salt and boron, and complete resistance toward chlorine was developed.     The global challenge of water scarcity is more pressing than ever, making desalination a vital part of t...

A method has been developed to fabricate highly stable gold nanoparticle supercrystals using linker-mediated covalent bonding reactions. This technique maintains structural stability under various environmental conditions and allows for size control, indicating broad potential applications for supercrystals.     Ensuring the structural stability of nanoparticle supercrystals is essential for their use ...

KAIST researchers have developed a revolutionary computing chip that can process artificial intelligence tasks and correct its own error. This self-learning chip operates more efficiently than traditional computing chips and can adapt to new information in real-time.     Imagine a future where tiny computing chips in smartphones and devices can learn and correct its own error just like human brains do....

In this study, the authors propose a new theory elucidating when and why graph neural networks become powerful. They demonstrate that the dependence between connections and features determines the effect of graph neural networks.   Imagine a community where people are connected to each other, forming a network. In the network, each individual (node) has unique features, and these features often influence ...

Professor Ki-Uk Kyung's research team has developed a novel soft shape-morphing actuator capable of rapidly transforming into various 3D shapes. This actuator, featuring new functionalities along with exceptional performance in output displacement and force, introduces an innovative way to interact with technology.       Professor Ki-Uk Kyung’s research team in the Department of Mechanical En...

Researchers in Human-FACTS lab have developed a large language model-based multimodal warning (LLM-MW) system that personalizes driver assistance. The system adapts to diverse drivers and traffic conditions, offering tailored warnings through auditory, visual and haptic channels to enhance safety and comfort.       Large language models (LLMs), such as ChatGPT, have revolutionized artificial intell...