activity
20162026
most citedEntropy based fingerprint for local crystalline order

181 citations · 1.2k across the 31 of their papers we have counts for

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13 papers · 1 filter

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.stat-mech2025

On the possibility of chiral symmetry breaking in liquid hydrogen peroxide

Roberto Menta, Pablo G. Debenedetti, Roberto Car +1

Molecular chirality is a key concept in chemistry with implications for the origin of life and the manufacturing of pharmaceuticals. Previous simulations of a chiral molecular mode…

cond-mat.stat-mech2023★ 11 cited

Critical behavior in a chiral molecular model

Pablo M. Piaggi, Roberto Car, Frank H. Stillinger +1

Understanding the condensed-phase behavior of chiral molecules is important in biology, as well as in a range of technological applications, such as the manufacture of pharmaceutic…

cond-mat.stat-mech2023★ 6 cited

Melting curves of ice polymorphs in the vicinity of the liquid-liquid critical point

Pablo M. Piaggi, Thomas E. Gartner, Roberto Car +1

The possible existence of a liquid-liquid critical point in deeply supercooled water has been a subject of debate in part due to the challenges associated with providing definitive…

cond-mat.stat-mech2022★ 93 cited

Liquid-liquid transition in water from first principles

Thomas E. Gartner, Pablo M. Piaggi, Roberto Car +2

A longstanding question in water research is the possibility that supercooled liquid water can undergo a liquid-liquid phase transition (LLT) into high- and low-density liquids. We…

cond-mat.stat-mech2021★ 103 cited

Phase equilibrium of water with hexagonal and cubic ice using the SCAN functional

Pablo M. Piaggi, Athanassios Z. Panagiotopoulos, Pablo G. Debenedetti +1

Machine learning models are rapidly becoming widely used to simulate complex physicochemical phenomena with ab initio accuracy. Here, we use one such model as well as direct densit…