Automating Materials Science Research: NLP-Driven Pipeline for Data Analysis and Experimentation

Yuchen Zhang, Bin Chen, Jian Su

Keywords: NLP, Generative AI, Text-to-SQL, Text-to-Code, Information Extraction

TL;DR: We propose an NLP pipeline integrating T2S, T2C, and IE to help materials science researchers easily access, analyze, and visualize experiment-related information from various data formats.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 223