Electronic Materials Lab

AboutAbout the lab

Solving the power problem of the AI era with new-principle devices that combine light and semiconductors.

The Electronic Materials Lab conducts research aimed at solving the rapidly growing power consumption problem of the AI era, using new-principle devices that combine light and semiconductors.
Electrical wiring is the mainstream for short-distance signal transmission inside computers, but as processing speed and memory capacity grow, problems such as power consumption become serious, so optical interconnects are attracting renewed attention.
The electrical-optical signal conversion (E-O conversion) that connects optical interconnects with electronic devices consumes relatively large amounts of power in current devices, and the lab aims to achieve a new kind of conversion using a transistor structure in which excitons act as carriers.
Toward the practical use of exciton transistors, the lab advances research and development at each level: materials, processes, and devices.

ResearchResearch themes

As generative AI and large-scale data processing spread, the power consumption of data centers is rising rapidly, and the lab is working to create new-principle devices that change information processing hardware itself. For the practical use of optical interconnects, it focuses on exciton transistors that use excitons as carriers, and builds the academic foundation of information processing technology that supports an AI-driven, low-carbon society while training researchers.

*Illustrative image

Optical interconnects using exciton transistors↗

In putting optical interconnects to practical use, electrical-optical signal conversion (E-O conversion) is a challenge. Aiming to realize a new kind of conversion using a transistor structure in which excitons act as carriers, the lab advances research and development at each level: materials, processes, and devices.

*Illustrative image

Optical memory, non-volatile memory, and hydrogen production↗

The lab also works on proposing an exciton-based optical memory aimed at resolving the von Neumann bottleneck, developing non-volatile memory for AI, and developing green hydrogen production technology using semiconductor-based visible-light photocatalysts.

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