A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

Researchers have developed a new kind of lidar system that simultaneously measures the location, speed and material ...

Researchers have developed an AI-driven semiconductor analysis technique that extracts critical material properties from ...

Florida State University physicists are part of a team that has discovered unusual superconducting states in parts of ...

A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...

Material science, at its core, is an interdisciplinary field focusing on the discovery and design of new materials. It combines elements of physics, chemistry and engineering to understand and ...

Open Materials 2024 will be one of the biggest data sets available for materials science. Meta is releasing a massive data set and models, called Open Materials 2024, that could help scientists use AI ...

The further development of modern science and technology relies strongly on the collection, curation, processing and use of data and relevant metadata: data-driven science is now more relevant than ...

The alternative text for this image may have been generated using AI. In this Perspective, we discuss the main advances in the MP over the past decade, contextualized within the materials science ...

This year's 35 Innovators are making it possible for familiar materials like glass, steel, and electronics to have completely new properties. In the 24 years I’ve worked as a materials scientist, I’ve ...

Members of a multifunctional thin film research group have published two landmark studies that explain how to engineer and enhance the stability of ferroelectric hafnium oxides, which are compatible ...