| Spider silks mechanics: Predicting humidity and temperature effects V Fazio, D De Tommasi, NM Pugno, G Puglisi Journal of the Mechanics and Physics of Solids 164, 104857, 2022 | 13 | 2022 |
| “Water to the ropes”: A predictive model for the supercontraction stress of spider silks V Fazio, NM Pugno, G Puglisi Extreme Mechanics Letters 61, 102010, 2023 | 5 | 2023 |
| Hierarchical physically based machine learning in material science: the case study of spider silk V Fazio, NM Pugno, O Giustolisi, G Puglisi arXiv preprint arXiv:2307.12945, 2023 | 2 | 2023 |
| Physically based machine learning for hierarchical materials V Fazio, NM Pugno, O Giustolisi, G Puglisi Cell Reports Physical Science 5 (2), 2024 | 1 | 2024 |
| Spider silks mechanics: predicting humidity and temperature effects G Puglisi, D De Tommasi, V Fazio, NM Pugno arXiv preprint arXiv:2106.03460, 2021 | 1 | 2021 |
| Multiscale models based on statistical mechanics and physically-based machine learning for the thermo-hygro-mechanical behavior of spider-silk-like hierarchical materials V Fazio Università degli studi di Trento, 2024 | | 2024 |
| Multiscale approach to decohesion in cell-matrix systems S Di Stefano, A Ramirez-Torres, L Bellino, V Fazio, G Vitucci, G Florio Theoretical and Applied Mechanics: AIMETA 2022 26, 47, 2023 | | 2023 |
| Memory effects in friction: the role of sliding heterogeneities V Fazio, V Acito, F Amiot, C Fretigny, A Chateauminois Proceedings of the Royal Society A 477 (2256), 20210559, 2021 | | 2021 |
| A multiscale model to unveil the role of humidity and temperature in the mechanical response of protein materials V Fazio, D De Tommasi, NM Pugno, G Puglisi BOOK OF ABSTRACTS, 24, 2021 | | 2021 |
| Water to the ropes”: A predictive model for the supercontraction stress V Fazio, NM Pugno, G Puglisi EXTREME MECHANICS LETTERS, 0 | | |
| Supercontraction of spider silks as a humidity-driven phase transition V Fazio, G Florio, NM Pugno, G Puglisi Materials Research Proceedings 26, 0 | | |
