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Tohoku University


New acoustic wave phenomenon discovered

Researchers at Tohoku University discovered a novel propagation phenomenon in surface acoustic waves, leading to the development of innovative acoustic devices. The study, published in Physical Review Letters, reveals asymmetrical diffraction behavior that can be controlled using magnetic fields.

SourceTohoku University·JournalPhysical Review Letters·DateJan 29, 2025

Monitoring tumor-informed circulating tumor DNA after CGP

Researchers developed a system to monitor tumor-informed circulating tumor DNA (ctDNA) after comprehensive genomic profiling (CGP), enabling accurate prediction of patient outcomes. The study showed that this approach can be effectively used in conjunction with CGP data to predict cancer relapse and treatment response, improving person...

SourceTohoku University·JournalCancer Science·DateJan 15, 2025

Cooperative motion by atoms protects glass from fracturing

A new discovery by researchers at Tohoku University reveals that the movement of atoms and molecules within glass can relax internal stress, making the material more resistant to fractures. The breakthrough has wide-ranging implications for industries such as consumer electronics, construction, and automotive manufacturing.

SourceTohoku University·JournalActa Materialia·DateDec 2, 2024

Do fungi recognize shapes?

Researchers found that fungi can communicate information throughout their network and adjust growth patterns based on shape. The mycelial network demonstrated pattern recognition abilities, suggesting a form of cognition that is both fascinating and unexplored in the fungal kingdom.

SourceTohoku University·JournalFungal Ecology·DateOct 9, 2024

Model of extending radio wave coverage using reconfigurable intelligent surfaces

Researchers developed a method to analytically express the performance of wireless communication systems when using reconfigurable intelligent surfaces (RIS). The model accurately predicted the effects of RIS on improving radio wave propagation environment, providing a useful guide for positioning RIS to receive stronger signals.

SourceTohoku University·JournalIEEE Transactions on Antennas and Propagation·DateJul 10, 2024

Generative AI that imitates human motion

The new approach combines central pattern generators (CPGs) with deep reinforcement learning (DRL), generating human-like movements for walking, running, and adapting to frequencies where motion data is absent. This breakthrough sets a new benchmark in robotics, offering unprecedented environmental adaptation capability.

SourceTohoku University·JournalIEEE Robotics and Automation Letters·DateMay 8, 2024