| Automatic selection of atomic fingerprints and reference configurations for machine-learning potentials G Imbalzano, A Anelli, D Giofré, S Klees, J Behler, M Ceriotti The Journal of chemical physics 148 (24), 2018 | 301 | 2018 |
| Neural network potential for Al-Mg-Si alloys R Kobayashi, D Giofré, T Junge, M Ceriotti, WA Curtin Physical Review Materials 1 (5), 053604, 2017 | 90 | 2017 |
| Thermally-nucleated self-assembly of water and alcohol into stable structures at hydrophobic interfaces K Voïtchovsky, D Giofrè, JJ Segura, F Stellacci, M Ceriotti Nature Communications 7, 2016 | 38 | 2016 |
| Ab initio modelling of the early stages of precipitation in Al-6000 alloys D Giofré, T Junge, WA Curtin, M Ceriotti Acta Materialia 140, 240-249, 2017 | 19 | 2017 |
| Electronic transport in BN substituted bilayer graphene nanojunctions D Giofré, D Ceresoli, G Fratesi, MI Trioni Physical Review B 93 (20), 205420, 2016 | 11 | 2016 |
| Can we Pretrain a SotA Legal Language Model on a Budget From Scratch? J Niklaus, D Giofre Proceedings of The Fourth Workshop on Simple and Efficient Natural Language …, 2023 | 9* | 2023 |
| Systems and methods for analysis explainability N Herger, NS Hristozova, M Norkute, L Michalak, S Skylaki, D Giofré, ... US Patent App. 17/484,881, 2022 | 1 | 2022 |
| Legal-HNet: Mixing Legal Long-Context Tokens with Hartley Transform D Giofré, S Ghantasala arXiv preprint arXiv:2311.05089, 2023 | | 2023 |
| Early Stages of Precipitation In Aluminum Alloys by First-Principles and Machine-Learning Atomistic Simulations D Giofré EPFL, 2018 | | 2018 |
| Ab-initio study of the electric field effects produced by nitrogen and boron dopants on the transport and electronic properties of the bilayer graphene MI Trioni | | |
Michele CeriottiAssociate Professor at EPFL, Institute of MaterialsEmail verificata su epfl.ch
