By making molecular and crystal structures inspectable during reasoning, SciReasoner achieves state-of-the-art predictions while generating human-readable explanations—showing how AI can solve chemistry and materials problems while remaining scientifically interpretable.
SciReasoner is a multimodal AI model that reasons about structure-property relationships in proteins, molecules, and crystals by treating structural information as interpretable evidence. It discretizes 3D coordinates and chemical topologies into a unified vocabulary, enabling transparent predictions grounded in scientific principles like bonding and symmetry.