A computational model that simulates the behavior of a physical system, here used to predict mineral transformations.A digital twin is a virtual replica of a physical system, continuously updated with real-time data to mirror its current state and predict future behavior. In the context of mineral transformations, a digital twin simulates how minerals change under varying temperature, pressure, and chemical conditions, allowing researchers to forecast outcomes without disturbing the actual system.
The digital twin is built from a mathematical model of the physical system, calibrated with sensor data or experimental measurements. It runs simulations using the same governing equations (e.g., thermodynamics, kinetics) and updates its parameters as new data arrives. This creates a living model that can be queried for 'what-if' scenarios, such as how a mineral deposit will respond to extraction or how a rock formation will evolve under stress.
Digital twins are used in mining to optimize ore processing, in geochemistry to predict mineral weathering, and in materials science to design new alloys or ceramics.
Digital twins were first used by NASA in the 1960s for Apollo missions, where they created physical replicas of spacecraft on Earth to mirror and predict the behavior of the ones in space.
