reaction-yield-prediction

This paper proposes a dual-modal Vision Cross-Attention architecture for reaction yield prediction, fusing tabular physical-organic data with 2D molecular topologies, and demonstrates that a generic computer vision backbone can outperform purely quantum-based baselines.