Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning

Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning

Leveraging generative Artificial Intelligence (AI), we have transformed a dataset comprising 1000 scientific papers focused on biological materials into a comprehensive ontological knowledge graph. Through an in-depth structural analysis of this graph, we have calculated node degrees, identified com...

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Bibliographic Details
Main Author: Markus J Buehler
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Machine Learning: Science and Technology
Subjects:
language modeling
biomaterials
generative AI
materials science
natural language processing
Graph theory
Online Access:https://doi.org/10.1088/2632-2153/ad7228

Internet

https://doi.org/10.1088/2632-2153/ad7228

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