2 citations · 8 across the 5 of their papers we have counts for
5 papers
Water Phase Diagram from a General-Purpose Atomic Cluster Expansion Potential
Eslam Ibrahim, Yury Lysogorskiy, Ralf Drautz +1
Water's phase diagram remains one of the most intricate and challenging benchmarks in molecular modeling. In this study, we compute the phase diagram of water using an Atomic Clust…
Assessment of First-Principles Methods in Modeling the Melting Properties of Water
Yifan Li, Bingjia Yang, Chunyi Zhang +5
First-principles simulations have played a crucial role in deepening our understanding of the thermodynamic properties of water, and machine learning potentials (MLPs) trained on t…
Ab Initio Melting Properties of Water and Ice from Machine Learning Potentials
Yifan Li, Bingjia Yang, Chunyi Zhang +5
Liquid water exhibits several important anomalous properties in the vicinity of the melting temperature () of ice Ih, including a higher density than ice and a dens…
PLUMED Tutorials: a collaborative, community-driven learning ecosystem
Gareth A. Tribello, Massimiliano Bonomi, Giovanni Bussi +60
In computational physics, chemistry, and biology, the implementation of new techniques in a shared and open source software lowers barriers to entry and promotes rapid scientific p…
Electrical double layer and capacitance of TiO2 electrolyte interfaces from first principles simulations
Chunyi Zhang, Marcos Calegari Andrade, Zachary K. Goldsmith +6
The electrical double layer (EDL) at aqueous solution-metal oxide interfaces critically affects many fundamental processes in electrochemistry, geology and biology, yet understandi…