This kind of thing is likely applicable to digital twins of many fields. The idea is to create a digital representation of whatever you are trying to model and run it alongside the real thing. It has applications in control engineering and predictive / prescriptive analytics. Depending on the application this could be done many ways (not necessarily using neural nets at all) and be fast or slow to run.