Part 7/10:
The Expanding Horizons of Digital Twins
Despite the exciting potential of digital twins, challenges remain. While creating a digital twin of a simple system may be feasible, constructing one for complex systems, such as an entire aircraft or a comprehensive model of human health, remains difficult. Key issues arise due to the scalability of data and interactions across different levels within systems.
For instance, the condition of the material at a microscopic level can influence the overall performance of an aircraft, and similar principles apply in biological systems. The existing computational power struggles to accommodate the models required to integrate these varying scales.