Fine-tuned Llama2-7b with text prompts predicts mean elastic constant components with MAE 2.32 GPa and R-squared 0.965, beating Darwin and MatTen on the same Materials Project dataset.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mtrl-sci 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design
Fine-tuned Llama2-7b with text prompts predicts mean elastic constant components with MAE 2.32 GPa and R-squared 0.965, beating Darwin and MatTen on the same Materials Project dataset.