Abstract Thermogalvanic (TG) cells are a promising technology for harvesting low-grade waste heat, but their practical applications have been hindered by low thermopower and output power density. Here, we report for the first time a solid-s... Read More
In a pioneering study, researchers have demonstrated that targeted light stimulation of the brain can significantly diminish alcohol cravings, offering a non-drug alternative for addiction treatment. This innovative approach harnesses neuro... Read More
Professor Seungbae Park of the School of Liberal Arts at UNIST has published a significant new book titled, 《Induction, Science, and Morality》with Springer, one of the world’s leading academic publishers. Notably, Professor Park is the only... Read More
Abstract Meta reinforcement learning aims to develop policies that generalize to unseen tasks sampled from a task distribution. While context-based meta-RL methods improve task representation using task latents, they often struggle with out... Read More
UNIST Holdings Co., Ltd. (hereinafter referred to as UNIST Holdings), the university’s sole investment arm, held the launch ceremony for the UNIST Public Technology Commercialization Fund, worth 120 billion KRW, at UNIST on August 22,... Read More
Abstract High-energy density materials are essential for the advancement of next-generation lithium-ion batteries, which power a wide range of applications from portable electronics to electric vehicles. Among them, high-Nickel (Ni) layered... Read More
UNIST and Pukyong National University (PKNU) have announced a strategic partnership aimed at spearheading advancements in the maritime and fisheries sectors. On August 18, representatives from both institutions signed a memorandum of unders... Read More
Graphite has attracted global interest due to its unique anisotropic properties, including excellent electrical and thermal conductivity. Widely used as a battery anode material and in applications such as electromagnetic shielding, catalys... Read More
UNIST announced that it has been officially selected to participate in the ‘2025 Deep Tech Specialized Startup-Centric Startup University Pilot Program (name tentative)‘ by the Ministry of SMEs and Startups (MSS) on August 14, 2... Read More
Abstract We introduce Bayesian code diffusion, a new deep learning program optimization strategy devised to accelerate the auto-tuning process of deep learning compilers. By using the concepts of prior and posterior distributions in the Bay... Read More
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