<![CDATA[NCKU, National Cheng Kung University - Stories & Perspectives]]> utf-8 2023-09-21 16:49:05 2023-09-21 16:49:05 HeimaVista.com inc <![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[Connecting inspiration, ideas, and impact | NCKU International Brand Film]]> 2023-04-14 <![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[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