A Machine Learning tool to optimally design fibrillar adhesives:
https://github.com/MattiaBacca/Fibrillar-Adhesives-ML-based-Design
This paper https://doi.org/10.48550/arXiv.2409.05928 showcases the tool and recovers previously calculated optimal designs in fibrillar adhesives to validate its functionality. Its capability of solving inverse design problems with architected materials and interfaces is nearly limitless (limited only by our understanding of the underlying physics).