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Toprasertpong Lab
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The lab builds energy-efficient next-generation transistors by integrating materials such as ferroelectrics into silicon.
AboutAbout the lab
Next-generation semiconductor devices to support the AI and IoT era
The Toprasertpong Lab studies next-generation semiconductor devices that will support the AI and IoT era.
As semiconductor scaling approaches its limits, methods are needed to improve computing performance without relying on scaling.
Based on silicon CMOS technology, the lab builds transistors that integrate oxide semiconductor and ferroelectric materials on top of silicon.
Key terms
- Ferroelectric
- A material whose direction of electrical polarization changes when a voltage is applied, and which keeps that direction even after the voltage is removed
- Reservoir computing
- An AI method that divides computation into a "reservoir" part, which transforms the input in complex ways, and an output part that is trained. Training is lightweight
- CMOS
- A circuit design used in most computer chips, which combines two types of transistors
NewsLab news
Associate Professor Toprasertpong and colleagues received the 17th Silicon Technology Division Paper Award
A student received the 24th IEEE EDS Japan Joint Chapter Student Award
A student received the 2025 IWDTF Young Researcher Award
A student received the SSDM Best Student Award
Associate Professor Toprasertpong and colleagues received the 16th Silicon Technology Division Paper Award
ResearchResearch themes
The lab studies devices for next-generation computing that improve LSI performance without relying on semiconductor scaling. Its work covers memory and transistors that use ferroelectrics, AI hardware built with them, and CMOS that operates at cryogenic temperatures for quantum computers.
*Illustrative imageFerroelectric Transistors and Memory
The lab studies transistors that use a ferroelectric such as HfZrO2 as the gate insulator (FeFET), as well as ferroelectric memory. It aims to clarify the properties of thin films made by atomic layer deposition, which stacks atoms one layer at a time, and the mechanisms by which the devices operate, in order to achieve devices with good characteristics.
*Illustrative imageAI Hardware Built with Ferroelectrics
This research implements reservoir computing, a computationally light AI method, on ferroelectric transistors and memory. The goal is to build, on silicon, AI hardware that can perform inference and learning with very little power.
*Illustrative imageCryogenic CMOS for Quantum Computers
To increase the number of qubits, silicon CMOS circuits that operate at cryogenic temperatures such as 4 K must be placed close to the qubit chip. The lab investigates the electrical properties and reliability of transistors at cryogenic temperatures through both experiments and theory.
MembersFaculty
The Toprasertpong Lab consists of faculty members, project researchers, doctoral, master's, and undergraduate students, research students, special graduate research students, and secretaries.As of 2026
- Associate ProfessorToprasertpong KasiditPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Ferroelectric domains at a PZT grain boundary ( )” Oak Ridge National Laboratory / CC BY 2.0 (cropped)
- Ferroelectric Transistors and Memory: “Hafnium(IV)-oxide-3D-polyhedra” Hoa112008 / Public domain (cropped)
- AI Hardware Built with Ferroelectrics: “Neuromorphic Nanowire Network Chip Wirebonded to Chip Carrier” DrHughManning / CC BY-SA 4.0 (cropped)
- Cryogenic CMOS for Quantum Computers: “Desert Cryogenics probe station” Moxfyre / CC BY-SA 4.0 (cropped)
- Related lab (Tanaka-Ohya-Nakane-Le Lab): “Molecular-beam epitaxy system at LAAS 0514” Guillaume Paumier (user:guillom) / CC BY-SA 3.0 (cropped)
- Related lab (Yokota Lab): “Strain gauge” Cristian V. / CC BY 4.0 (cropped)
- Related lab (Someya-Jimbo Lab): “Stretchable Electronics” Steve Jurvetson from Menlo Park, USA / CC BY 2.0 (cropped)
- Related lab (Maeda Lab): “Self-etched nitride MOCVD film” Evavilova / CC BY-SA 4.0 (cropped)
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