The application of artificial neural networks (ANN) at the IKZ significantly reduces the time needed for the further development of growth processes.

Artificial neural networks replicate certain aspects of the human brain, especially the ability to learn.

Static ANN are used at the IKZ for parameter optimization in the magnetic field controlled growth of crystalline materials.
The Fundamental Description Section currently studies the real-time prediction of growth processes by dynamic ANN.
For example, the temperature distributions in the melting furnace and the position of the crystallization front during the crystal growth can be predicted and optimized.

This enables process automation and control and is essential for the development of "smart factories" in the context of Industry 4.0.