1 citations · 1 across the 3 of their papers we have counts for
3 papers
Dynamical properties of ab initio water from machine-learning potentials
P. Montero de Hijes, L. Neubeck, G. Kresse +1
We assess the dynamical properties of liquid water predicted by several density functionals using machine-learning interatomic potentials. MACE models were trained for SCAN, RPBE-D…
Non-Markovian dynamics in ice nucleation
Pablo Montero de Hijes, Sebastian Falkner, Christoph Dellago
In simulation studies of crystallisation, the size of the largest crystalline nucleus is often used as a reaction coordinate to monitor the progress of the nucleation process. Here…
Structure and dynamics of the magnetite(001)/water interface from molecular dynamics simulations based on a neural network potential
Salvatore Romano, Pablo Montero de Hijes, Matthias Meier +3
The magnetite/water interface is commonly found in nature and plays a crucial role in various technological applications. However, our understanding of its structural and dynamical…