Tag: AI in materials science
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AI-Driven Synthesis for Faster Materials Discovery
Discover how AI-driven synthesis protocols are revolutionizing materials discovery by bridging the gap between theory and practical application.
VibroML: Automated Vibrational Analysis for Crystals
Discover VibroML, a toolkit using machine learning for high-throughput vibrational analysis and dynamic stability in crystalline materials.
Generative Structure Search for Efficient Molecular Discovery
Discover diverse molecular and crystal structures efficiently with Generative Structure Search, combining deep learning and energy-guided exploration.
MetaSymbO: AI-Driven Language-Guided Metamaterial Discovery
Discover MetaSymbO, a multi-agent AI framework using language guidance and symbolic evolution for advanced metamaterial design and innovation.
XDFT: AI Agent Diagnoses DFT Band-Gap Mismatches Accurately
Discover XDFT, a self-evolving AI agent that improves diagnosis of DFT-experiment band-gap mismatches with 78% accuracy in material predictions.