Material database for electronic innovation

Researchers from Murata Manufacturing Co., Ltd., and the National Institute for Materials Science (NIMS) have collaborated to create a groundbreaking database of dielectric material properties sourced from a vast collection of scientific papers. This database is poised to revolutionize the development of next-generation electronic materials and energy storage technologies by providing valuable insights and data.

The team meticulously gathered experimental data from over 20,000 material samples, drawing from a pool of more than 5,000 publications. This extensive dataset is focused on a specific class of materials crucial for the electronics industry and is the most comprehensive compilation of its kind, surpassing all previous efforts in this field.

Utilizing the wealth of information at their disposal, the researchers employed machine learning (ML) techniques to predict the properties and electronic behavior of various materials. This innovative approach allows for the efficient analysis and evaluation of materials, paving the way for advancements in electronic device manufacturing and energy storage technologies.

One of the key aspects that sets this project apart is the rigorous process undertaken by the researchers to ensure the accuracy and quality of the database. By meticulously tracing graphs and rectifying inconsistencies in the original research papers, the team has created a clean and reliable dataset that can serve as a valuable resource for scientists and researchers worldwide.

The NIMS team has announced their intention to release the database to the public next year, making it accessible to the global scientific community. This move is expected to facilitate collaboration and innovation in the field of materials science, enabling researchers to leverage the dataset for new discoveries and breakthroughs in electronic materials and energy storage technologies.