Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Material science, at its core, is an interdisciplinary field focusing on the discovery ...

Machine learning models process input data, such as an image, and generate outputs, like identifying the shapes present in the image. The first layer of the model takes in the raw image input.

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

Advances in machine learning for materials science, data-driven materials prediction, autonomous synthesis and characterization, and data-guided high-throughput exploration, can now significantly ...

Machine learning (ML) enables the accurate and efficient computation of fundamental electronic properties of binary and ternary oxide surfaces, as shown by scientists from Tokyo Tech. Their ML ...

Researchers have built a machine learning model that can successfully predict abnormal grain growth in polycrystalline materials — a development that could lead to the creation of stronger, more ...

How Machine Learning Is Advancing Materials Science. ML has become a powerful tool in materials science, offering a faster, more efficient way to discover and design new materials. Traditional ...

“This is the first time machine learning has been applied to optimize nano-architected materials, and we were shocked by the improvements,” says Serles. “It didn’t just replicate successful geometries ...

Researchers at IISc and University College London have developed a machine learning method to predict material properties using limited data. Their transfer learning-based model effectively ...

EarthCam, a producer of live camera technology, content, and services, announced its latest product, AI Material Analysis. This new service is the first to combine real-time jobsite cameras with a ...

Google DeepMind has developed a revolutionary AI system that discovered 2 million new materials, unlocking massive potential for innovations in renewable energy, batteries, electronics, and more.