Title: AI in literature review: creating a transistor database
Host: Science Council's MagX Presentation
Discussion Leader: Steve McGill
Abstract: An AI-powered process using Zotero, Python, AI APIs, and Excel was employed to efficiently extract specific details from scholarly documents. This showcases a useful method that streamlines literature reviews and automatically collects required domain-specific data. The approach is demonstrated by mining the model numbers of transistors from articles describing cryogenic amplifiers.