Large language models for porous materials: from text mining to autonomous laboratory

Digital Discovery 2026 Open access

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Authors: Seunghee Han, Taeun Bae, Junho Kim, Y H Kim, Young-Hun Kim, Jihan Kim, Jihan Kim
DOI: 10.1039/d5dd00578g
Cited by: 4
References: 122

Abstract

Schematic overview of LLM integration in porous materials research, including NLP-based text mining, LLM adaptation, and autonomous laboratory systems.

Fields of Study & Subjects

Natural Language Processing Techniques Topic Modeling Machine Learning in Materials Science

Publication details

Journal / source
Digital Discovery
Publisher
Royal Society of Chemistry (RSC)
Volume
5
Issue
4
Pages
1470–1500
Publication date
1 January 2026
Language
EN