Materials informatics (MI) is a technology that draws on a massive amount of experimental and material data, AI, as well as the methods of information science and computational science, to develop materials more efficiently. It analyzes past experimental data and simulation results using AI to support the optimization of material composition, compounding ratios, and manufacturing conditions. This enables the development of materials, which previously required extensive trial and error, to be carried out efficiently and within a shorter time frame.
Hitachi High-Tech offers comprehensive support from research and development through to the establishment of mass production technologies by providing Materials Informatics (MI) and Compound Discovery AI, which advance material development through large-scale data aggregation and analysis, and performance predictions; Process Informatics (PI), which streamlines the scaling up of operations from the lab to mass production; as well as material analysis and analytical technologies involving the use of various systems.