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Controlled Synthesis and
Large-Scale Integration of Nanomaterials
Carbon Nanotubes：CNTs
We are conducting research on incorporating machine learning, one of artificial intelligence techniques, into the synthesis of nanomaterials, focusing on process informatics and materials informatics. By efficiently exploring complex synthesis and catalytic conditions that were previously difficult to search, we aim to achieve novel nanomaterial synthesis.
Graphene Nanoribbons：GNRs
Graphene nanoribbons are one-dimensional materials formed by graphene in a strip-like (ribbon) shape. Graphene nanoribbons exhibit intriguing properties such as semiconductor characteristics not found in graphene, and the formation of unique edge states. By leveraging our proprietary plasma chemical vapor deposition (CVD) technique, we are exploring integrated synthesis and applications in future device technologies.
Transition metal dichalcogenides：TMDs
TMDs are materials with structures similar to graphene but composed of atoms other than carbon. They have attracted significant attention in recent years as one of the most promising materials among atomically thin materials, due to their unique properties such as semiconductor behavior and superconductivity. We are exploring high-quality TMD synthesis and applications in future devices using our proprietary in-situ observation chemical vapor deposition (CVD) technique.
