News - Institute of Industrial Science, the University of Tokyo

News: Press Release

News: Press Release

News: Press Release

A single molecule makes a big splash in the understanding of the two types of water

Some polycrystal grain boundaries feel the heat more than others

Researchers from the The University of Tokyo Institute of Industrial Science use electron energy loss spectroscopy to understand local thermal behavior at grain boundaries in polycrystals

Glass as Stable as Crystal : Homogeneity Leads to Stability

Researchers at The University of Tokyo use numerical simulations to model the process called devitrification during which glasses crystallize, which may help improve the long-term stability of glassy materials, like pharmaceuticals and smartphone screens.

Tokyo researchers take a look beneath the skin of surfactant onions

Drones show promise in speeding up communication with underwater robots for ocean surveys

Researchers from The University of Tokyo Institute of Industrial Science find that drones may be the next generation of communication bases to monitor the ocean and seafloor because of their high-speed positioning, stability, and efficiency.

AI predicts extensive material properties to break down a previously insurmountable wall

Measles: activation of two different innate immune responses spotted

Researchers from The University of Tokyo Institute of Industrial Science describe a novel feature of the immune response to certain viruses such as measles

Better Weather Forecasting Through Satellite Isotope Data Assimilation

Researchers from The University of Tokyo assimilated satellite observations of water vapor isotopes into a weather forecasting model and found that forecast accuracy was improved by several percentage points

Cracking the Code of Crack Propagation in Rubberlike Materials

Researchers from The University of Tokyo Institute of Industrial Science develop an experimentally supported mathematical model that defines the velocity jump mechanism in crack propagation

Bonding’s next top model – Projecting bond properties with machine learning

Researchers from The University of Tokyo Institute of Industrial Science report a machine learning-based model for predicting the bonding properties of materials

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