Pacini, A.; Ferrario, M.; Righi, M. C., Accelerating Data Set Population for Training Machine Learning Potentials with Automated System Generation and Strategic Sampling, «JOURNAL OF CHEMICAL THEORY AND COMPUTATION», 2025, 21, pp. 7102 - 7110 [articolo]Open Access
Pacini, A.; Ferrario, M.; Loehle, S.; Righi, M. C., Advancing tribological simulations of carbon-based lubricants with active learning and machine learning molecular dynamics, «THE EUROPEAN PHYSICAL JOURNAL PLUS», 2024, 139, Article number: 549, pp. 1 - 13 [articolo]Open Access
Long, Yun; Pacini, Alberto; Ferrario, Mauro; Van Tran, Nam; Peeters, S.; Thiebaut, Benoit; Loehlé, Sophie; Martin, Jean Michel; Righi, Maria Clelia; De Barros Bouchet, Maria-Isabel, Superlubricity from mechanochemically activated aromatic molecules of natural origin: A new concept for green lubrication, «CARBON», 2024, 228, Article number: 119365, pp. 1 - 12 [articolo]Open Access
Kajita, Seiji; Pacini, Alberto; Losi, Gabriele; Kikkawa, Nobuaki; Righi, Maria Clelia, Accurate Multiscale Simulation of Frictional Interfaces by Quantum Mechanics/Green’s Function Molecular Dynamics, «JOURNAL OF CHEMICAL THEORY AND COMPUTATION», 2023, 19, pp. 5176 - 5188 [articolo]Open Access
