Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability. - Rogério Almeida Gouvêa; Pierre-Paul De Breuck; Tatiane Pretto; Gian-Marco Rignanese; Marcos José Leite Santos (CoRR, 2025)

MEIDNet: Multimodal generative AI framework for inverse materials design. - Anand Babu; Rogério Almeida Gouvêa; Pierre Vandergheynst; Gian-Marco Rignanese (CoRR, 2026)

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials. - Rogério Almeida Gouvêa; Gian-Marco Rignanese (CoRR, 2026)