Algorithm predicts the compositions of new materials

A machine-learning algorithm that can predict the compositions of trend-defying new materials has been developed by RIKEN chemists1. It will be useful for finding materials for applications where there is a trade-off between ...

Strainoptronics: A new way to control photons

Researchers discovered a new way to engineer optoelectronic devices by stretching a two-dimensional material on top of a silicon photonic platform. Using this method, coined strainoptronics by a team led by George Washington ...

Get excited by neural networks

Researchers at the Institute of Industrial Science, the University of Tokyo (UTokyo-IIS), used artificial intelligence to rapidly infer the excited state of electrons in materials. This work can help material scientists study ...

Sustainable structural material for plastic substitute

Plastic gives us a lightweight, strong and inexpensive material to use, but it has also caused the plastic apocalypse. Much of the unrecycled plastic waste ends up in the ocean, Earth's last sink. Broken down by waves, sunlight ...

Scientists tap into AI to put a new spin on neutron experiments

Scientists seek to use quantum materials—those that have correlated order at the subatomic level—for electronic devices, quantum computers, and superconductors. Quantum materials owe many of their properties to the physics ...

Creating custom light using 2-D materials

Finding new semiconductor materials that emit light is essential for developing a wide range of electronic devices. But making artificial structures that emit light tailored to our specific needs is an even more attractive ...

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