Single atom layer trap for lithium-ion migration

On April 14th, Prof. Ma Cheng from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) and his colleagues reported an important discovery regarding the mechanism of Li-ion migration ...

Turning up the heat for perfect (nano)diamonds

Quantum mechanics, the physics that governs nature at the atomic and subatomic scale, contains a host of new physical phenomena to explore quantum states at the nanoscale. Though tricky, there are ways to exploit these inherently ...

Machine learning method accurately predicts metallic defects

For the first time, researchers at the Lawrence Berkeley National Laboratory (Berkeley Lab) have built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. ...

Phosphorus a promising semiconductor

(Phys.org) —Defects damage the ideal properties of many two-dimensional materials, like carbon-based graphene. Phosphorus just shrugs.

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