Grenzlinie/MgBERT_LLM_Classification_for_Materials_Science
Source code and result for Paper 'A Prompt-Engineered Large Language Model, Deep Learning Workflow for Materials Classification' published in Materials Today.
This project helps materials scientists automatically classify materials, specifically metallic glasses, based on their composition descriptions. You input text descriptions of material compositions, and it outputs a classification for that material. This is designed for materials researchers, scientists, or engineers who need to categorize new or existing material formulations efficiently.
No commits in the last 6 months.
Use this if you need to classify metallic glass materials from their textual descriptions without manual expert review.
Not ideal if you are working with material types other than metallic glasses or require classification based on non-textual data like images or structural models.
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License
MIT
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Last pushed
Apr 29, 2025
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