Optical Property

Optical property research focuses on understanding and manipulating how light interacts with matter, aiming to design materials and devices with specific optical characteristics. Current research heavily utilizes machine learning, particularly convolutional neural networks (CNNs) like ResNet50 and diffusion models, alongside algorithms like Random Forest and Extreme Learning Machines (ELM), to analyze complex optical data, design novel photonic structures, and improve the accuracy and speed of optical parameter extraction. This work is crucial for advancing diverse fields, including 3D reconstruction, biomedical imaging, and the development of advanced photonic devices with tailored functionalities.