1 citations · 1 across the 2 of their papers we have counts for
2 papers
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-mech2020★ 1 cited
Simulated tempering with irreversible Gibbs sampling techniques
Fahim Faizi, Pedro J. Buigues, George Deligiannidis +1
We present here two novel algorithms for simulated tempering simulations, which break detailed balance condition (DBC) but satisfy the skewed detailed balance to ensure invariance…