News - Institute of Industrial Science, the University of Tokyo

News: Press Release

News: Press Release

News: Press Release

‘Hot’ new form of microscopy examines materials using evanescent waves

Microscopes usually use backscattered radiation to create images, but a research group from #UTokyo_IIS , is developing an all-new method to study materials using the faint light they emit, generated by heat.

Bringing out the color in zinc

Researchers from the #UTokyo_IIS, synthesize a two-center zinc complex that absorbs visible light as a solid and in solution.

In Search of the Ideal Glass

Researchers at #UTokyo_IIS use computer simulations of glass-forming particles to discover a new type of exotic ordering impacting the fate of the material.

Ions Share Their Hydration Secrets for Industrial Design and Manufacturing

Researchers from #UTokyo_IIS provide physical insights into ion hydration in water-based solutions, which will aid electrolyte design for energy storage technologies.

Much Ado about Nothing: Insights into Designing Advanced Stimuli-Responsive Materials

Researchers from #UTokyo_IIS, provide physical insights into porous soft materials, which will facilitate the design of many energy, medical, and other technologies.

New method expertly evaluates protein folding stability on a large scale

Researchers from Northwestern University and recently joining the #UTokyo_IIS develop a high-throughput approach to evaluate protein folding stability in thousands of proteins.

Development of a high-resolution method for climate model simulation using machine learning

Researchers from #UTokyo_IIS have developed a high-resolution method for climate model simulation.

New method takes the uncertainty out of oxide semiconductor layering

Researchers from #UTokyo_IIS develop a nanosheet oxide semiconductor for electronic devices.

A Sticky Colloidal Sciences Question Now Solved

Researchers from #UTokyo_IIS, discover how certain colloids can form a solid-like gel and reveal how the mechanism differs from glasses.

Machine Learning Lets Researchers See Beyond the Spectrum

Researchers at #UTokyo_IIS, use artificial intelligence to help interpret data generated by material science spectroscopy experiments, which can aid in the development of new drugs and organic conductors.

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