Introduction
本計畫基於生物系統作用機制與優異功能，模擬自然界生物優越的結構或系統，並藉由結合實驗結果與理論模擬，建立「異質接面仿生能量傳遞材料數位資料庫」。此資料庫透過材料實驗、理論模擬並藉由數據分享及分析，以期增進材料設計、製造、系統工程等各階段之整合。在材料計算中，將以有限元素時域分析法(FDTD)計算材料光性；另基於密度泛函理論（DFT）的第一原理計算，模擬計算材料電子結構。另由文獻數據，進行資料探勘和機器學習方式，經結合基因演算與人工神經網絡的深度學習，建立「異質接面仿生能量傳遞材料數位資料庫」。期能發展智慧仿生材料設計與材料數位技術，應用至相關智慧仿生元件系統，以縮減研發時程、解決關鍵問題，加速新產業及工業化驗證。
This project is based on the mechanism of biological systems and excellent functions to simulate structures or systems to biological organisms. By combining experimental results with theoretical simulations, a "Bionic Heterojunction Energy Transfer Material Digital Database" is established. The database is aiming for data sharing and analysis to enhance the integration of materials design, manufacturing and systems engineering. In the material computation, the optical properties of materials are calculated by finite element time domain analysis (FDTD), and the electronic structure of the materiasl is simulated based on first principle calculation of density functional theory (DFT). In addition, the literature data are explored based on the machine learning technique, combined with genetic algorithm and deep learning of artificial neural networks, to establish a "Bionic Heterojunction Energy Transfer Material Digital Database". We will develop intelligent biomimetic material design and material digital technology and apply it to relevant intelligent biomimetic component systems to reduce R&D timelines, solve key problems, and accelerate industrial verification.
