| From enhanced sampling to reaction profiles E Trizio, M Parrinello The Journal of Physical Chemistry Letters 12 (35), 8621-8626, 2021 | 23 | 2021 |
| A unified framework for machine learning collective variables for enhanced sampling simulations: mlcolvar L Bonati, E Trizio, A Rizzi, M Parrinello The Journal of Chemical Physics 159 (1), 2023 | 19 | 2023 |
| Deep learning collective variables from transition path ensemble D Ray, E Trizio, M Parrinello The Journal of Chemical Physics 158 (20), 2023 | 19 | 2023 |
| Computing the Committor with the Committor: an Anatomy of the Transition State Ensemble P Kang, E Trizio, M Parrinello arXiv preprint arXiv:2401.05279, 2024 | 3 | 2024 |
| Machine Learning and Molecular Dynamics E Trizio Università degli Studi di Milano-Bicocca, 2024 | | 2024 |
| Structure and polymerization of liquid sulfur across the λ-transition M Yang, E Trizio, M Parrinello Chemical Science 15 (9), 3382-3392, 2024 | | 2024 |
michele parrinelloDepartment of ChemistryEmail verificata su phys.chem.ethz.ch
