Composite Material

Composite materials research centers on designing and optimizing these materials for enhanced performance and reliability across diverse applications. Current research heavily utilizes machine learning, particularly deep learning architectures like convolutional neural networks and Gaussian processes, to predict mechanical properties, optimize microstructures, and detect manufacturing defects such as cracks and gaps. These advancements are crucial for accelerating the design process, improving quality control, and enabling the wider adoption of composites in industries like aerospace and automotive manufacturing, where lightweight, high-strength materials are essential.