Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

AI-designed materials cool better than paint and save energy. Their uses span homes, clothes, and space tech. A new class of ...

Researchers at the Indian Institute of Science (IISc), with collaborators at University College London, have developed machine learning-based methods to predict material properties even with limited ...

Novel machine learning model can predict material failure before it happens Date: April 16, 2025 Source: Lehigh University Summary: A team of researchers has successfully predicted abnormal grain ...

Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

As a structural biologist, he is studying this process on the smallest scale: the trillions of atoms that must synchronize their work to make it happen. "I don't see a big difference ...

To cut emissions and reduce energy bills, an international engineering team has created the whitest paint coating yet—with ...

The newly invented materials, called meta-emitters, could reduce the level of heat the buildings absorb and decrease the cost ...

We think we can change that using with machine learning,” Rivas said. Developing computational models to map out the effects of ionizing radiation on materials requires exploring the problem at the ...

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.