Evaluating large language models for inverse semiconductor design

Key Points

• The study aims to assess the capability of large language models in generating crystal structures based on specific target properties.
• Evaluation of large language models for their effectiveness in inverse materials design.
• Generating text-encoded representations of crystal structures.
• Analysis of how well generated structures align with desired target properties.
• Large language models successfully generate crystal structures that meet specified properties.
• The generated structures show potential for further material discovery and optimization.