activity
20242026
collaborators

9 papers

physics.chem-ph2026

Molecular mechanism of ice nucleation on feldspar

Wanqi Zhou, Pablo M. Piaggi

Understanding how water transforms into ice at complex surfaces is central to a wide range of natural and technological processes, yet molecular simulations of this transformation…

cond-mat.mtrl-sci2026

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…

physics.chem-ph2025

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…

physics.chem-ph2025

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…

cond-mat.stat-mech2025

Hybrid ab initio and empirical machine learning models for the potential energy surface

Pablo Peña-Cano, Pablo M. Piaggi

We propose a methodology to generate hybrid machine learning models for the potential energy surface trained simultaneously on data from ab initio electronic structure calculations…

cond-mat.mtrl-sci2025

Early Stages of Self-Healing at Tungsten Grain Boundaries from Ab Initio Machine Learning Simulations

Jorge Suárez-Recio, Pablo M. Piaggi, Francisco J. Domínguez-Gutiérrez +2

Nanostructured tungsten has been reported as a possible alternative plasma-facing material due to its potential ability to self-heal radiation-induced defects, a property that is a…