Machine learning guides carbon nanotechnology

Carbon nanostructures could become easier to design and synthesize thanks to a machine learning method that predicts how they grow on metal surfaces. The new approach, developed by researchers at Japan's Tohoku University ...

Chiral detection of biomolecules based on reinforcement learning

As one of the basic physical properties, chirality plays an important role in many fields. Especially in biomedical chemistry, the discrimination of enantiomers is a very important research subject. Most biomolecules exhibit ...

Flies smell through a Gore-Tex system

A research group led by a scientist of the RIKEN Center for Biosystems Dynamics Research (BDR) has gained important insights into the nanopores that allow the fruit fly to detect chemicals in the air, and has identified the ...

From foe to friend: Graphene catalyzes the C-C bond formation

Graphene monolayers can be epitaxially grown on many single-crystal metal surfaces under ultra-high vacuum. On one side, these monolayers protect highly reactive metallic surfaces from contaminants, but on the other side, ...

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