介電材料資料庫

Introduction

  本資料庫旨在提供產、學界致力於低介電薄膜相關領域之有效開發參考指南。本資料庫數據結合人工智能輔助模擬和計算及高效能材料技術，同時透過日本國立材料研究所高效能物理特性分析，特別針對多孔無機-有機複合低介電薄膜及超材料結構，推演出其「製程-結構-性質」相關性質。

    本資料庫的建構，以材料特性和超材料的幾何和結構設計為基本信息，用於機器學習和訓練。計算結果分別回饋優化高效能製備之參數與超材料之架構設計，再將實驗所得數據反饋於機器學習和訓練，同時進行編程模型調整。藉此循環模式，加速介電材料探索過程及達到科學預測嶄新材料之目標。

    本資料庫之可靠基礎建立於跨領域研發，有效整合學界、業界和國際研究機構之人力設備資源，通過緊密組織合作，實現超越5G和6G無線通信設備和車用雷達追求新穎低介電和損耗之可靠材料。

    The database aims to provide an effective reference guide for the industry and academia in the development of low-dielectric-constant (Dk) films. The database is established by integrating AI-assisted simulation and calculation, high-throughput materials methodology, as well as efficient physical property analysis conducted by the National Institute for Materials Science (NIMS) in Japan. This database particularly focuses on the "process-structure-property" correlations of porous low-Dk inorganic-organic composites with metamaterial structures.

    The construction of this database relies on the fundamental information of materials properties and the geometry and structure design of metamaterials, which provide basis for initiative machine learning and training. The resulting computational results are then fed back to high-throughput processing and the structural design of metamaterials for optimizing experimental parameters; the revised data are transferred back to machine learning and training again, simultaneously enabling the adjustment of the calculation models. This iterative process allows the acceleration of exploring low-Dk films and the achievement of scientific prediction (or determination) of novel materials.

    The reliability of this database is built on interdisciplinary research and development contributed from various fields, including the effective integration of the manpower and equipment resources of academia, industry, and international research institutions. Through the intimate organizational cooperation, novel low Dk and loss materials can be pursued and eventually applied to wireless communication beyond 5G and 6G and automotive radar systems.