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Extracting Structured Seed-Mediated Gold Nanorod Growth Procedures from Literature with GPT-3
To that end, we present an approach using the powerful GPT-3 language model to extract structured multi-step seed-mediated growth procedures and outcomes for gold nanorods from unstructured scientific text.
Structured information extraction from complex scientific text with fine-tuned large language models
Here, we present a simple sequence-to-sequence approach to joint named entity recognition and relation extraction for complex hierarchical information in scientific text.
Benchmarking Materials Property Prediction Methods: The Matbench Test Set and Automatminer Reference Algorithm
The reference algorithm, Automatminer, is a highly-extensible, fully-automated ML pipeline for predicting materials properties from materials primitives (such as composition and crystal structure) without user intervention or hyperparameter tuning.
Materials Science Computational Physics
