Material database to boost next-generation electronic innovation
The Starrydata database is curated from more than 5,000 of research papers
Researchers Murata Manufacturing Co., Ltd., and the National Institute for Materials Science (NIMS), built a comprehensive new database of dielectric material properties curated from thousands of scientific papers. The database also offers insights that could accelerate the development of next-generation electronic materials and energy storage technologies.
The team collected experimental data on over 20,000 material samples from more than 5,000 publications.
The database focuses on a specific class of materials necessary for electronics and is the largest ever reported, significantly surpassing previous collections. With this wealth of information, the team used machine learning (ML) to predict the properties of materials and how they would behave electronically.
“What makes our work unique is the meticulous process of manually tracing graphs and correcting inconsistencies in original research papers to create a clean, high-quality dataset,” the researchers said.
The NIMS team plans to make the dataset publicly available next year, allowing scientists worldwide to leverage it for new discoveries.
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