AI4Science 文獻連結

 1. AI for Science in 2023: A Community Primer

https://medium.com/@AI_for_Science/ai-for-science-in-2023-a-community-primer-d2c2db37e9a7

2. Materials Project Seminars – Tian Xie "MatterGen: a generative model for inorganic materials design"

https://www.youtube.com/watch?v=Smz1go6_Spo&t=2220s&ab_channel=MaterialsProject

3. Scientific Large Language Models (Sci-LLMs)

4. Automated Chemical Reaction Extraction from Scientific Literature

5. MatSciBERT: A materials domain language model for text mining and information extraction

6. A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor

7. A thermoelectric materials database auto-generated from the scientific literature using ChemDataExtractor

8. A general-purpose material property data extraction pipeline from large polymer corpora using natural language processing

9. A corpus of CO2 electrocatalytic reduction process extracted from the scientific literature

10. Automated Construction of a Photocatalysis Dataset for Water-Splitting Applications