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Machine learning can predict the mechanical properties of polymers

A machine learning algorithm can use X-ray diffraction data from polymers to predict the behaviour of new materials. Polymers such as polypropylene are fundamental materials...

Dual-action therapy shows promise against aggressive oral cancer

A new treatment combining tiny iron particles and nitric oxide gas shows promise in targeting oral cancer cells for destruction. In a new study, scientists...

A new spin on materials analysis

Electron spin states can now be probed at much higher resolution and more efficiently, opening new opportunities in materials analysis and data processing technologies. Researchers...

Kirigami hydrogels rise from cellulose film

Laser-patterned thin films that swell into kirigami-like structures offer new opportunities in hydrogel technology. New options for making finely structured soft, flexible and expandable materials...

Sensing structure without touching

Touch sensors that don't even need direct contact offer new sensitivity for robotic 3D structure recognition and wireless transmission of data A radical new...

Nano-sized probes reveal how cellular structure responds to pressure

By giving living cells a ‘nano-poke’ and monitoring the resulting changes in the intra-cellular environment, researchers have gotten their first glimpse of how whole...

Machine learning techniques improve X-ray materials analysis

Researchers of RIKEN at Japan’s state-of-the-art synchrotron radiation facility, SPring-8, and their collaborators, have developed a faster and simpler way to carry out segmentation...

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