Enriching the Information Landscape in Materials Science

Developments in shifting data science workloads from data preparation to data analysis

A Curated Collection

Elsevier and SciBite combine unrivaled depth and breadth of content with cutting-edge semantic technology and services.

Together, we free organizations from the burden of data cleaning, cataloging and annotation. By transforming full-text and open-source data and making it accessible and interoperable, we enrich the information used across the research landscape - ensuring a solid data foundation for AI-based modeling or knowledge graph construction, irrespective of the scientific domain.

This free, curated collection contains in-depth discussions of materials graph ontology, product lifecycle management for knowledge reuse, and a knowledge graph method for hazardous chemical management.

Download the collection today and then contact us to discuss the application of these technologies at your company.