Unveiling the charge distribution of a GaAs-based nanoelectronic device: A large experimental dataset approach
In quantum nanoelectronics, numerical simulations have become a ubiquitous tool.Yet the comparison with experiments is often done at a qualitative level or restricted to a single device with a handful of fitting parameters.In this work, we assess the predictive power of these simulations by comparing the results of a single model with a large exper