Work

Knowledge discovery from porous organic cage literature using a large language model

Year: 2024

Type: article

Abstract: A GPT-4-based text mining workflow was developed for rapid information extraction from porous organic cages (POCs) literature. A chatbot was also created to answer POCs-related questions using the knowledge database generated from the workflow.

Source: Digital Discovery

DOI: 10.1039/d4dd00337c

Authors: Yaoyi Su, Siyuan Yang, Yuanhan Liu, Aiting Kai, Linjiang Chen, Ming Liu

Institutions: Zhejiang University, University of Science and Technology of China, University of Birmingham

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Science and Technology Department of Zhejiang Province, Natural Science Foundation of Zhejiang Province

Awards: G1504493291, 多孔有机分子笼作为肿瘤治疗气体载体的研究, G7858221522