ML training beyond the boiling point
Hello,
I am training a force field for water. As the intended temperature for production is 300 K I use a temperature ramp from 50 to 500 K to sample structures. This follows the general rule to exceed the target temperature by some 30%, but in this case I also exceed the boiling point of the material. I wonder if this is a good idea, as I see a distinct increase in the error of the energies above 400 K, the density also decreases more sharply in this temperature range, but the simulation is still far from a gas phase.
Should I stop training at the boiling point or is it fine (or even beneficial) to sample beyond this point?