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Nano Material Properties Engineering Lab
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The lab builds flexible sensors from inorganic nanomaterials and handles everything through to machine learning.
AboutAbout the lab
From nanomaterials to devices and systems.
The Nano Material Properties Engineering Lab aims to realize highly functional, high-performance devices using inorganic nanomaterials.
Beyond making individual devices, the lab studies everything in one integrated effort: materials, devices, process development, and machine learning for data analysis.
Applications are wide-ranging, including wearable health monitoring systems, electronic skin, IoT, plant health monitoring, and VR/AR.
Undergraduate students also get to take part in international conferences and write papers in English, with the aim of training researchers and engineers who feel no barrier with English.
Key terms
- Inorganic nanomaterials
- Materials such as metals and semiconductors made at the extremely small scale of nanometers
- Reservoir computing
- A computing method that converts input signals into complex responses and reads them out, requiring little training effort
- Electronic skin
- Sensors arranged on a flexible film so that it can sense pressure and temperature like human skin
NewsLab news
A student's paper on electronic skin accepted by Advanced Functional Materials
Paper on wearable respiration, heart rate, and blood pressure sensors published in Device
A student's paper on LIG published in Small Structures
A graduate student received the fiscal 2025 Presentation Encouragement Award of the Japan Society of Applied Physics Hokkaido Chapter
ResearchResearch themes
The lab aims to make highly functional, high-performance devices mainly using inorganic nanomaterials. Rather than stopping at individual devices, it studies everything from materials to devices to process development, and proposes new devices that fuse different fields.
*Illustrative imagePrinted sensor sheets
Focusing on the electrical properties of inorganic nanomaterials, the lab develops methods to coat them onto large-area films to form thin films. This leads to multifunctional flexible sensors that measure human health conditions and building environments.
*Illustrative imageA mechanism for analyzing data instantly
Combining flexible sensors with reservoir computing, the lab aims to build edge systems that analyze data on the spot. By breaking the convention of one sensor = one output, it lowers power consumption and system complexity.
*Illustrative imageWearable health monitoring
The lab integrates sensor sheets that measure multiple vital signs without harming the body with machine learning algorithms that analyze the data instantly. It works with the Faculty of Medicine on validation tests and toward practical use.
*Illustrative imageElectronic skin and whiskers
The lab integrates sensors that detect the information human fingertips feel onto flexible films. By introducing machine learning, it captures even slip and softness, aiming for use in robots that need instant feedback.
MembersFaculty
The members of the Nano Material Properties Engineering Lab consist of faculty, postdoctoral researchers and visiting professors, doctoral, master's, and undergraduate students, technical staff, and administrative assistants.As of 2026
- ProfessorKuniharu Takei
- Assistant ProfessorYijun Liu
VoicesStudent voices
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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: “Stretchable Electronics” Steve Jurvetson from Menlo Park, USA / CC BY 2.0 (cropped)
- Printed sensor sheets: “Printed flexible electronics ( )” Oak Ridge National Laboratory / CC BY 2.0 (cropped)
- A mechanism for analyzing data instantly: “DARPA SyNAPSE 16 Chip Board” DARPA SyNAPSE / Public domain (cropped)
- Wearable health monitoring: “SmartCare wrist-worn pulse oximeter” Peter H Charlton / CC BY 4.0 (cropped)
- Electronic skin and whiskers: “Shadow Hand Bulb large” Richard Greenhill and Hugo Elias (myself) of the Shadow Robot Company / CC BY-SA 3.0 (cropped)
- Related lab (Nanoelectronic Devices Lab): “CMOS magnetische Blasendomänen” Matesy GmbH / CC BY-SA 3.0 (cropped)
- Related lab (Integrated Electronic Devices Lab): “Gold Nano Anchors Put Nanowires in Their Place ( )” National Institute of Standards and Technology / Public domain (cropped)
- Related lab (Electronic Materials Lab): “CdTe quantum dots plasmachem” PlasmaChem GmbH, Berlin, Germany. Original uploader was Antipoff at en.wikipedia / CC BY-SA 4.0 (cropped)
- Related lab (Integrated Nanosystems Lab): “Нейрон коры с множеством дендритных шипиков” Sergb95 / CC BY-SA 4.0 (cropped)
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