Kavli Affiliate: Xian Chen | First 5 Authors: Chenbo Zhang, Xian Chen, , , | Summary: Composition-temperature phase diagrams are crucial for designing ferroelectric materials, however predicting them accurately remains challenging due to limited phase transformation data and the constraints of conventional methods. Here, we utilize natural language processing (NLP) to text-mine 41,597 research articles, […]
Continue.. FerroAI: A Deep Learning Model for Predicting Phase Diagrams of Ferroelectric Materials