Work

MaterialBrain: High-Performance Material Synthesis Extraction via Human–AI-Curated Few-Shot Large Language Models

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.5c02299

Institutions: Beihang University, University of Science and Technology Beijing, Westlake University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China, National Social Science Fund of China

Awards: G2790223137, G6152561046, G6969770719

OpenAlex ID: W7117301526

FWCI: 0.414

Cites: 55

Cited by: 2

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