Particle identification using NN classifiers was actually on the early success stories of NN. These are pretty standard algorithms in tracking and trigger software in HEP experiments now. There are even standard tools in the field to help you train your own.

What is more interesting currently is things like anomaly detection using ML/NN and foundational models..etc.