<![CDATA[NCKU, National Cheng Kung University - Stories & Perspectives 2023]]> utf-8 2024-11-21 22:39:53 2024-11-21 22:39:53 <![CDATA[Quanta-NCKU Joint AI Research Center opened on December 15]]> 2023-12-28 <![CDATA[Taiwan Showcases Carbon-Neutral Technologies at COP28, Leading the Global Transition Away from Fossil Fuels]]> 2023-12-22 <![CDATA[QS World University Sustainability Ranking 2024: NCKU Ascends 70 Places to Second in Taiwan]]> 2023-12-07 <![CDATA[【92nd Anniversary】2023 National Cheng Kung University (NCKU) K.T. Li Technology and Literature Lectureships Awards are Presented to Honor Eight Scholars, including Professor Chen-Ching Liu in the Field of Electrical Grid]]> 2023-11-21 <![CDATA[Aligned with the Energy Transition and the National Satellite Program, NCKU’s Industry-Academic Innovation Marks a New Milestone.]]> 2023-11-13 <![CDATA[Cultural Heritage in NCKU: First Designated General Antiquity in Museum Collection]]> 2023-10-16 <![CDATA[Advancing Precision Medicine: NCKU Researchers’ Innovation in Disc Herniation Detection on Cover Story of Journal of Biomedical Materials Research Part A]]> 2023-09-13 <![CDATA[New Treatment for Brain Tumor Uses Gene Silencing to Overcome Radioresistance]]> 2023-09-08 <![CDATA[Revolutionizing Material Design at National Cheng Kung University: Leveraging “Prediction + Design" AI Model in Freeze-Casting for Bioinspired Porous Materials]]> While freeze-casting for bioinspired porous materials holds immense real-world application potential, the current design-to-fabrication process is still complex and fraught with uncertainties. Assistant Professor Chi-Hua Yu of the Department of Engineering Science at National Cheng Kung University has led a research team that successfully used deep learning models to predict the generative process and design the ice crystal structure in freeze-casting. Published in Advance Science in May, this research not only minimizes the labor and time costs involved in the design and fabrication process, but also enhances the success rate to pave the way for innovative material design. 《Advanced Science: Deep Learning Model to Predict Ice Crystal Growth.》 ]]> 2023-06-21 <![CDATA[A Step Closer to Dark Energy]]> 2023-06-01 <![CDATA[The Observation of “Sequential Melting” of Upsilon Particles in Gold Nuclei Collisions]]> 2023-04-14 <![CDATA[Connecting inspiration, ideas, and impact | NCKU International Brand Film]]> 2023-04-14 <![CDATA[First in Asia: Professor Pao-Kuan Wang Receives the Prestigious Nikolai Dotzek Award 2023]]> 2023-03-24 <![CDATA[Advances in Photoelectron Holography Pave the Way to Better Diamond-based Semiconductors]]> 2023-02-22 <![CDATA[Targeting Third-Generation Semiconductor Talents: NCKU and Diodes Incorporated Launch Cooperation]]> 2023-02-18 <![CDATA[Electroless Plating Method to Create Affordable lithium-ion Batteries]]> 2023-02-14 <![CDATA[Machine-learning Assisted Detection of Age-related Macular Degeneration from Fundus Photos]]> 2023-01-11