Microelectronic Morphogenesis

Microelectronic morphogenesis explores the creation of complex, functional microstructures through the self-organization of materials guided by embedded electronic information. Current research focuses on developing computational models, including neural cellular automata and activator-inhibitor systems, to design and predict the emergent behaviors of these systems, often drawing inspiration from biological morphogenesis. This field aims to create adaptable, resilient micro-robots and devices by mimicking the decentralized control and self-repair capabilities of living organisms, with potential applications in robotics, biomedicine, and materials science. The ultimate goal is to understand and replicate the fundamental principles of biological development to create artificial systems with comparable complexity and adaptability.