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MatterChat: A Multi-Modal LLM for Material Science

2025-05-20

Abstract excerpt

<title>Abstract</title> <p>Understanding and predicting the properties of inorganic materials is crucial for accelerating advancements in materials science and driving applications in energy, electronics, and beyond. Integrating material structure data with language-based information through multi-modal large language models (LLMs) offers great potential to support these efforts by enhancing human–AI interaction....

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Literature Corpus work
55c98fc4-641c-5fc1-8466-883a3e93d633
DOI
10.21203/rs.3.rs-6373794/v1
Open publication

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MatterChat: A Multi-Modal LLM for Material ScienceDOI 10.21203/rs.3.rs-6373794/v1
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