Data-driven Algorithm Team
The data-driven algorithm team develops "data-driven algorithms and tools specializing in materials data" to accelerate data-driven materials research and development. The team conducts application research using these developed algorithms in collaboration with experimental groups inside and outside NIMS.
As the needs of materials research are diverse, the data handled vary depending on each study. Therefore, we believe that data-driven materials research and development can be succeeded by developing, optimizing, and using algorithms that are suited to each study.
The main research topics are as follows.
- ・Development of black-box optimization methods for materials research.
- ・Development of software to control automated experiments.
- ・Development of data-driven algorithms for understanding materials data.
- ・Development of MI methods using Ising machine/quantum annealing machine.