The authors propose an artificial neural network enabled to autonomously learn and refine time-dependent protocols for graphene growth, optimizing synthesis quality through iterative feedback based on Raman spectral analysis. This AI-driven methodology advances the development of large-scale and high-quality 2D-Materials.
- Leonardo Sabattini
- Annalisa Coriolano
- Antonio Rossi
