Functional networks models for rapid characterization of thin films: An application to ultrathin polycrystalline silicon germanium films

- Functional network predictive model for film characterization is constructed.
- 154 experimental data sets were used for training and testing.
- It accurately predicts poly-SiGe film thickness, resistivity and deposition rate.
- The models can be used to proactively control film properties.