Tag: AI in materials science
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LLM-Guided Open Hypothesis Learning for Autonomous Microscopy
Discover how LLM-guided open hypothesis learning revolutionizes autonomous scanning probe microscopy by generating new physical models from experimental da...
XDecomposer: Prior-Free Multiphase X-ray Diffraction Analysis
Discover XDecomposer, a prior-free framework for accurate multiphase X-ray diffraction analysis, improving phase identification without prior knowledge.
2025 LLM Hackathon: Advances in Materials Science & Chemistry
Explore key outcomes from the 2025 LLM Hackathon driving AI innovations in materials science and chemistry research workflows and applications.
AI-Driven Interface Boosts Battery Research Efficiency
Discover how AI integration between FINALES and Kadi4Mat accelerates sodium-ion battery research, optimizing formation and performance.
AI-Powered Expansion of Alexandria Materials Database
Discover how AI enhances the Alexandria Database with 1.3M new compounds and 99% accuracy in stable material discovery for advanced research.