Researchers have developed a new type of lidar system that can do much more than traditional versions. In a single ...

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

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

This article introduces an innovative approach that utilizes machine learning (ML) to address the computational challenges of accurate atomistic simulations in materials science. Focusing on the field ...

What would it take to instantly transform a material from an electrical insulator into a conductive state without ever ...

Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these ...

With the increasing demand for thermoplastics, the volume of plastic waste has risen dramatically. In response, there has been a strengthening of environmental policies and the implementation of ...

M (MMM) installs rare atomic-scale electron microscope to speed materials R&D, linking structure to performance across ...

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...

In response to numerous inquiries from academia, industry, and other government labs, the National Institute of Standards and Technology (NIST) recently published a new database on the properties of ...

Advanced optical materials are crucial in the development of many everyday appliances that enhance our lives. These materials have the unique ability to manipulate light in various ways, allowing us ...