Researchers extend the mathematical approach called automatic differentiation from machine learning to the fitting of model parameters that describe the behavior of field-effect transistors. This allowed the parameters to be extracted up to 3.5 times faster compared with previous methods, which may lead to more sustainable microelectronics.