The Digital Twin Paradox: Data Can Remember – But Physics Knows
The concept of the digital twin has matured. What began as a passive mirror of physical systems has evolved into a strategic, intelligent asset, capable of sensemaking, foresight, and context-driven adaptation. This article explores how digital twins have advanced through successive generations, why physics-based modelling is now essential, and how hybrid approaches like Physics-Informed Neural Networks offer the key to navigating unpredictable, high-risk scenarios—the so-called Black Swan events.


