Computational Uncertainty Quantification in Nanotechnology          PI: Leila Taghizadeh

The goals of this project include

1) to investigate how the uncertainty propagates through the mathematical models in nanoelectronical devices and effects the output (stochastic modeling),

2) to estimate the unknown parameters in the model using statistical Bayesian inversion and probabilistic methods (model calibration), and

3) optimal experimental design in nanotechnology.