Modelling Metamaterials: From Bio-Inspired Concepts to AI-Driven Design

Metamaterials have opened up exciting possibilities for controlling mechanical, electromagnetic, and acoustic properties. Their potential applications range from healthcare innovations and aerospace advancements to energy solutions and robotics. However, the challenge lies in accurately modelling these complex materials. Their intricate designs require high-resolution simulations. Additionally, interactions between different physical phenomena can create significant computational demands. In this webinar, we’ll delve into new strategies to address these challenges. We’ll explore how techniques such as finite element methods, reduced-order modelling, and AI-enhanced simulations can efficiently and accurately predict the performance of metamaterials. By discussing recent computational advancements and design principles, we aim to show how inspiration from nature, solid physics-based modelling, and cutting-edge AI strategies are driving the next generation of metamaterial innovation.