
Computational and Machine-Learning Assisted Design of Functional Metamaterials
Going beyond rational design using state-of-the-art computational techniques
Complex media and metamaterials offer exciting possibilities by combining carefully engineered structures with unusual mechanical and dynamic properties. Our research explores how geometry, interactions, and collective behaviour give rise to entirely new material functionalities.
From computational modelling and machine learning to energy dissipation and active robotic systems, we investigate how materials can be designed to control motion, absorb energy, and respond to their environment.
By bridging fundamental physics, computational techniques, and experimental design, we aim to develop the next generation of functional, adaptive, and intelligent materials.

Going beyond rational design using state-of-the-art computational techniques

What if materials could do more than simply bend and spring back? Dissipative metamaterials combine carefully engineered geometries with mechanisms that absorb and dissipate energy,

Understanding the emergent dynamics in active solids using robotic systems.