In this part of our work, we are investigating the possibility to replace numerical TCAD device simulations with machine learning methods.

We are building a unique simulation framework that combines machine learning methods and device simulation techniques.

We are developing a quantum mechanical simulator to model current flow in CMOS devices.

We are performing numerical first principal simulations of various materials and device architectures.

Our aim is to establish a link between the chemistry, device fabrication and device design and numerical modelling.