This technology establishes an Autonomous Materials Intelligence Platform based on “Computation-Guided Experiment,” transforming conventional trial-and-error materials development into predictive materials design. The platform redefines how materials are designed, validated, and manufactured, and has been successfully validated in lithium-ion and solid-state battery systems, significantly improving development efficiency while reducing time, manpower, and cost.

This technology establishes an Autonomous Materials Intelligence Platform that transforms conventional trial-and-error materials development into predictive materials design, enabling a next-generation framework for digital materials R&D.

This technology can be applied to batteries, semiconductors, hydrogen technologies, and intelligent manufacturing, improving materials development efficiency and predictive accuracy while reducing development time, manpower, and R&D cost. It establishes a next-generation platform for digital materials R&D and intelligent manufacturing.