02/06/2023

AI software can provide 'roadmap' for biological discoveries

Predicting a protein's location within a cell can help researchers unlock a plethora of biological information that's critical for developing future scientific discoveries related to drug development and treating diseases ...

Improving fluid simulations with embedded neural networks

While neural networks can help to improve the accuracy of fluid flow simulations, new research shows how their accuracy is limited unless the right approach is taken. By embedding fluid properties into neural networks, simulation ...

Predicting the composition of a steel alloy

Producing energy on Earth through nuclear fusion, the type of reaction that powers the sun, has proven to be a major challenge. The extreme conditions needed for such a reaction require the walls of a nuclear fusion device ...

Better understanding the bonds between carbon group elements

The bonds between clusters of elements in the fourteenth group of the periodic table are known to be fickle. Ranging from the nonmetal carbon, to the metalloids silicon and germanium, to the metals tin and lead, all these ...

Examining domain walls in magnetic nanowires

Magnetic domains walls are known to be a source of electrical resistance due to the difficulty for transport electron spins to follow their magnetic texture. This phenomenon holds potential for utilization in spintronic devices, ...

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