Crystal
Summary
Crystal is an AI-powered tool that instantly identifies rocks, crystals, and gemstones.
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LapidaryEngine: Fully Conversational Crystal Generation
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.
CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation
CrystalReasoner is an LLM framework that generates crystal structures from natural language by using physical priors as thinking tokens and reinforcement learning to ensure validity, stability, and property-conditioned generation.
@xbresson: How do we design materials with AI? Excited to introduce Crys-JEPA, a new generative technique in collaboration w/ @liu…
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.
Damo Academy unveils an AI agent able to discover superconductors, which could revolutionise scientific materials research and innovation
Damo Academy (Alibaba) introduces Elements Claw, an AI agent that discovered four new superconducting materials by screening millions of crystal structures, potentially accelerating materials research.
ED-CSP: Crystal Structure Prediction from Electron Diffraction
ED-CSP is a machine learning model that predicts crystal structures from electron diffraction patterns, achieving improved match rates over the PXRD-based PXRDGen and demonstrating the value of multi-view diffraction data.