MACE-M18, an energy-weighted machine-learning potential trained on quantum Monte Carlo data, predicts a steep, high melting line for dense molecular hydrogen (about 954 to 1635 K from 50 to 173 GPa) with no melting maximum before the liquid molecular-atomic crossover.
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High temperature melting of dense molecular hydrogen from machine-learning interatomic potentials trained on quantum Monte Carlo
MACE-M18, an energy-weighted machine-learning potential trained on quantum Monte Carlo data, predicts a steep, high melting line for dense molecular hydrogen (about 954 to 1635 K from 50 to 173 GPa) with no melting maximum before the liquid molecular-atomic crossover.