Model-Based Substitution of Experimentation

Using high-fidelity computational models to replace or significantly reduce the number and cost of physical experiments, filtering out likely-to-fail solutions early and accelerating iteration cycles. Core logic: when model accuracy is sufficiently high, experimentation shifts from being a necessary primary information source to becoming an expensive validation cost.

Read the daily articles behind this idea on the Chinese edition.