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#crystal-generation News & Analysis

2 articles tagged with #crystal-generation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Jun 97/10
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MatMind: A Structure-Activity Knowledge-Driven Generative Foundation Model for Materials Science

MatMind is a generative foundation model designed for crystal materials science that unifies structure prediction, property forecasting, and material design within a single LLM-based framework. The model surpasses specialized graph neural networks on benchmark tasks while achieving 65.3% success on crystal generation, demonstrating that unified AI architectures can compete with purpose-built narrow specialists.

AIBullisharXiv – CS AI · May 297/10
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MiAD: Mirage Atom Diffusion for De Novo Crystal Generation

Researchers introduce Mirage Atom Diffusion (MiAD), a novel diffusion model that enables dynamic alteration of atom counts during crystal generation by treating atoms as existing or non-existing states. The technique achieves an 8.2% success rate on the MP-20 dataset for generating stable, unique, and novel crystalline materials, representing a significant improvement over existing methods.