Machine Learning, Deep Learning, Chemistry, Physics, Molecular Dynamics.
to be enough samples for the model to be able to generalise to configurations it hasn’t seen, but it also needs to be done within our computational budget. Tradeoffs to be navigated in generating training data. Many more considerations There are tons of other things to consider, here I have