Thin Shell

Thin shell research focuses on understanding and manipulating the behavior of thin, curved structures under various forces and conditions. Current research emphasizes developing accurate and efficient computational models, including physics-informed neural networks and differentiable simulations, to predict and design shells with specific properties for diverse applications. These models are being applied to improve robotic manipulation of flexible materials, optimize designs for enhanced strength and stability, and advance simulations in areas like fluid dynamics and structural mechanics. The resulting advancements have significant implications for robotics, engineering design, and scientific modeling.