Constant-pressure nested sampling with atomistic dynamics

Understand

The nested sampling algorithm has been shown to be a general method for calculating the pressure-temperature-composition phase diagrams of materials.

• While the previous implementation used single-particle Monte Carlo moves, these are inefficient for condensed systems with general interactions where single-particle moves cannot be evaluated faster than the energy of the whole system.
• Here we enhance the method by using all-particle moves: either Galilean Monte Carlo or a total enthalpy Hamiltonian Monte Carlo algorithm, introduced in this paper.
• We show that these algorithms enable the determination of phase transition temperatures with equivalent accuracy to the previous method at $1/N$ of the cost for an $N$-particle system with general interactions, or at equal cost when single particle moves can be done in $1/N$ of the cost of a full $N$-particle energy evaluation.