Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Stanford researchers have developed a flexible material that can quickly change its surface texture and colors, offering potential applications in camouflage, art, robotics, and even nanoscale ...

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

Materials scientists have succeeded in creating a genuine 2D hybrid material called glaphene. Some of the most promising materials for future technologies come in layers just one atom thick -- ...

The stuff we use to make solar panels, semiconductors, and medical devices determines much about their properties and performance. These innovators are creating new materials for these and other ...

This is where things get really exciting. Nanomaterials are like tiny delivery trucks and super-powered microscopes for ...

For a long time, material development has focused on enhancing performance and reducing costs. Efforts have been directed toward making products lighter, tougher, better insulated, more beautiful, ...