Machine learning speeds up simulations in material science

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence (AI) autonomously acquires ...

Hexagonal boron nitride's remarkable toughness unmasked

It's official: Hexagonal boron nitride (h-BN) is the iron man of 2D materials, so resistant to cracking that it defies a century-old theoretical description engineers still use to measure toughness.

A better look at how particles move

If you take a bucket of water balloons and jostle one of them, the neighboring balloons will respond as well. This is a scaled-up example of how collections of cells and other deformable particle packings respond to forces. ...

Comprehensive electronic-structure methods for materials design

Nicola Marzari, head of the Theory and Simulation of Materials laboratory at EFPL and director of NCCR MARVEL, has just published a review of electronic-structure methods as part of a special edition Insight on Computational ...

Swarms of robots could dig underground cities on Mars

Underground habitats have recently become a focal point of off-planet colonization efforts. Protection from micrometeorites, radiation and other potential hazards makes underground sites desirable compared to surface dwellings. ...

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