Presentation Information

[15p-S2_204-1]Prototype of a control board utilizing the materials research digital ecosystem DICE

〇Toshihisa Anazawa1, Koyo Daimaru1, Takuya Kadohira1, Satoshi Minamoto1 (1.NIMS)

Keywords:

DICE,Control Board,MLOps

We prototyped a control board that enables end-to-end handling of material data creation, accumulation, and utilization by leveraging each system within DICE, NIMS's digital ecosystem for materials research. This control board allows unified execution of data acquisition, model registration, and material design optimization through workflows built using a GUI. As a case study, we constructed a machine learning model for water purification materials through system integration from this control board.