Data utilization and AI
Research and development
HITACHI HIGH-TECH MI SOLUTIONS
Materials Informatics/Process Informatics
Increase the efficiency of materials development and mass-production design by utilizing a huge amount of experimental data, materials data and AI technologies alongside information science and computational science
Materials Informatics (MI) and Process Informatics (PI) can be utilized to develop lithium-ion battery cathode materials, electrolytes, separators, and other components, to improve the yield by searching for and optimizing the production conditions. Currently, MI and PI are not limited only to batteries but are also utilized in various fields, including semiconductors and pharmaceuticals.
The effects of introducing these approaches include a shorter development period due to fewer experiments and yield improvements, the achievement of data-driven development that does not depend on experience or intuition, and the establishment of new material formulation and process conditions. Reducing the number of experiments also contributes to reduced CO₂ emissions.