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From prediction to realization: large language models and AI agents for inorganic materials discovery

Figure 1. The prediction–synthesis gap in inorganic materials. AI has identified millions of thermodynamically stable structures, yet only several hundred had been experimentally realized at publication, highlighting the central challenge for AI in inorganic materials discovery. Crystal structures are visualized using the Materials Project[5], Copyright AIP Publishing LLC, licensed under a CC BY 3.0, and diagram elements created with Chemix (https://chemix.org). AI: Artificial intelligence.

Chemical Synthesis
ISSN 2769-5247 (Online)

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Portico

All published articles are preserved here permanently:

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