Enhancing Chemical Synthesis Research with NLP: Word Embeddings for Chemical Reagent Identification - A Case Study on nano-FeCu

Supplemental Information

Document S1. Requirements for code and libraries used (requirements.txt)

Document S2. DOIs related to Chem_Dataset (DOIs.txt)

Document S3. Strongly chemistry related positive dataset (D1.txt)

Document S4. Weakly chemically related positive dataset (D2.txt)

Document S5. Strongly chemically related negative dataset (D3.txt)

Document S6. Weakly chemically related negative dataset (D4.txt)

Document S7. List of reducing agents (reducing agents.txt)

Document S8. List of chelating agents (chelating agents.txt)

Document S9. List of copper salts (copper salts.txt)

Document S10. List of iron salts (iron salts.txt)

Document S11. Complete list of all chemicals involved in the dataset (all chemicals involved in the dataset.txt)

Document S12. Excel file containing Average Cosine Similarity Results, related to the Model Evaluation Metrics (Average Cosine Similarity Results.xlsx)

Document S13. Analogy reasoning dataset (D5.txt)

Document S14. DOIs related to ChemEnhanced_Dataset (DOIs_chem.txt)

Document S15. DOIs related to NoiseSimulated_Dataset (DOIs_music.txt)