AI speeds up development of new high-entropy alloys

Developing new materials takes a lot of time, money and effort. Recently, a POSTECH research team has taken a step toward creating new materials by applying AI to develop high-entropy alloys (HEAs) which are referred ti as ...

Applying artificial intelligence to science education

A new review published in the Journal of Research in Science Teaching highlights the potential of machine learning—a subset of artificial intelligence—in science education. Although the authors initiated their review ...

Researchers work to create a roadmap on quantum materials

The term 'quantum materials' was introduced to highlight the exotic properties of unconventional superconductors, heavy-fermion systems (materials with unusual electronic and magnetic properties) and multifunctional oxides. ...

Taking the guesswork out of twistronics

The twist has been taking the field of condensed matter physics by storm. No, not the 1960s dance craze made famous by Chubby Checker— the stunning discovery that two sheets of graphene, a flat honeycomb-shaped lattice ...

Machine learning to scale up the quantum computer

,,Quantum computers are expected to offer tremendous computational power for complex problems –currently intractable even on supercomputers—in the areas of drug design, data science, astronomy and materials chemistry ...

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