Physics‐Motivated Middle‐ to Low‐Latitude NmF2 Reconstruction Using Thermospheric ΣO/N 2 and Solar EUV Radiation
Traditional deep learning models for the ionosphere often rely on space weather indices as inputs, offering predictive capability but limited physical interpretability. We present SRON2NN, a physics‐motivated artificial neural network (ANN) that incorporates two geophysically motivated features: effective solar rad...