There 2 methodologies offered to user to fill the gap:
1. Digital test: this methodology is a semi-analytical solution using multi-scale simulation technology powered by Digimat to predict the behavior of the material at the missing conditions.
2. Physics based AI: the first step of the methodology is to use the Digital test to identify the behavior of the material at the input data point. Then, the evolution of the model parameters along the conditions (temperature and strain rate) is predicted by using an AI algorithm. This provides a more accurate prediction than the Digital test if enough data are provided to train efficiently the AI solution.
There 2 methodologies offered to user to fill the gap:
1. Digital test: this methodology is a semi-analytical solution using multi-scale simulation technology powered by Digimat to predict the behavior of the material at the missing conditions.
2. Physics based AI: the first step of the methodology is to use the Digital test to identify the behavior of the material at the input data point. Then, the evolution of the model parameters along the conditions (temperature and strain rate) is predicted by using an AI algorithm. This provides a more accurate prediction than the Digital test if enough data are provided to train efficiently the AI solution.
