cfd-literature

To retrieve CFD research papers, you query Semantic Scholar, OpenAlex, and arXiv APIs simultaneously. This normalizes publication details into a structured JSON dataset, streamlining literature surveys and research planning without requiring external scripts.

The best way to compile recent CFD studies on turbulent flows is using automated literature search across Semantic Scholar, OpenAlex, and arXiv. This normalizes key publication details into a standardized JSON file for easy downstream integration.

Normalized literature data from arXiv and OpenAlex supports CFD research by standardizing publication details into a unified JSON format. This eliminates manual formatting, allowing researchers to directly analyze comprehensive literature datasets for project planning.

No, you do not need external scripts to fetch CFD literature from Semantic Scholar. The process directly utilizes the Semantic Scholar API alongside OpenAlex and arXiv to retrieve and normalize papers into a structured JSON dataset automatically.

Yes, you can search arXiv, OpenAlex, and Semantic Scholar for fluid dynamics papers using automated literature retrieval. It queries all three APIs based on a user-defined topic and outputs a standardized JSON dataset for analysis.