November, 2024
August, 2024
Development of an AI Model for Mobile Display Panel Stress Prediction Using MeshGraphNet (2022.5 - 2023.2) We achieved over 80% accuracy in predicting maximum panel stress compared to commercial simulation programs (e.g., ANSYS, ABAQUS). We reduced cost and time while improving speed and efficiency by applying the AI model compared to conventional dynamic analysis methods. We aim to optimize thin film thickness, materials, and PO Mobile panel stacking structure through Ball Impact simulations.
February, 2023