collaborators

5 papers

physics.comp-ph2025

Committors without Descriptors

Peilin Kang, Jintu Zhang, Enrico Trizio +2

The study of rare events is one of the major challenges in atomistic simulations, and several enhanced sampling methods towards its solution have been proposed. Recently, it has be…

physics.chem-ph2025

The seeds of the future are in the present: A blind exploration of metastable states

Timothée Devergne, Vladimir Kostic, Massimiliano Pontil +1

In this work, we present a novel type of molecular dynamics simulation that aims at discovering, in a blind way, new metastable states. Using only data coming from an initial unbia…

physics.chem-ph2025

Weighted Active Space Protocol for Multireference Machine-Learned Potentials

Aniruddha Seal, Simone Perego, Matthew R. Hennefarth +5

Multireference methods such as multiconfiguration pair-density functional theory (MC-PDFT) offer an effective means of capturing electronic correlation in systems with significant…

physics.comp-ph2025

Fast and Fourier Features for Transfer Learning of Interatomic Potentials

Pietro Novelli, Giacomo Meanti, Pedro J. Buigues +4

Training machine learning interatomic potentials that are both computationally and data-efficient is a key challenge for enabling their routine use in atomistic simulations. To thi…

cond-mat.stat-mech2025

The role of fluctuations in the nucleation process

Yuanpeng Deng, Peilin Kang, Xiang Xu +2

The emergence upon cooling of an ordered solid phase from a liquid is a remarkable example of self-assembly, which has also major practical relevance. Here, we use a recently devel…