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LapidaryEngine is a new AI model that enables fully conversational generation of crystal materials from free-form natural language, using a pivot representation for bidirectional translation and iterative refinement. It outperforms existing text-to-crystal systems by allowing intuitive, dialogue-like interaction.
PRISMat is a cost-effective, permutation-invariant autoregressive model for generating crystal slabs conditioned on surface properties, achieving 4× lower error than previous models while being more efficient than LLMs.
Crys-JEPA introduces a joint embedding predictive architecture for crystals that learns an energy-aware latent space, achieving significant improvements in stability and novelty for de novo crystal discovery.