This video features Sir Konstantin Novoselov's presentation at GYSS 2023, focusing on the future of materials science. He discusses the properties and applications of graphene, the emergence of other 2D materials, and the shift towards custom-engineered and functional intelligent materials. The talk also touches upon the role of machine learning in materials research and the potential for future materials to possess capabilities like self-healing and programmability, drawing parallels with biological systems.
Graphene is significant due to several unique properties, including being the thinnest possible material, highly stretchable, impermeable, and possessing exceptional electrical and thermal conductivity. Its honeycomb lattice structure leads to unusual electronic properties, such as electrons behaving like relativistic particles, allowing them to tunnel through barriers with 100% probability.
Functional intelligent materials are designed to perform specific tasks or exhibit certain behaviors autonomously, often possessing memory and the ability to learn or adapt based on external conditions. This contrasts with traditional materials, where functionality is typically achieved by assembling them into a system. In functional intelligent materials, capabilities like sensing, actuation, and analysis are integrated directly into the material itself, allowing it to respond and change its properties without external control.