The development of experimental 1,2,3 and theoretical databases 4,5,6,7,8,9 has become a primary focus in data-driven materials science in recent years 10. The Materials Project (MP) database 11 has ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...

Control over a material's final atomic structure is essential to changing that material's properties. This is especially true for materials with quantum properties that respond rapidly to slight ...

M (MMM) on Thursday said it installed a scanning transmission electron microscope capable of imaging materials at the atomic ...

A major challenge in materials science is the determination of the structure of nanometre-sized objects. Here we present an approach that uses a generative machine learning model based on diffusion ...

Researchers have developed and demonstrated a technique that allows them to engineer a class of materials called layered hybrid perovskites (LHPs) down to the atomic level, which dictates precisely ...

How nanoscale control changed materials science, from atomic-level design in coatings and quantum materials to bio-inspired ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group ...

"Atomic spray painting” of potassium niobate, a material commonly used in advanced electronics onto a substrate, could enable the tuning of properties of the resulting thin film, according to a new ...