If you think of a single atom as a grain of sand, then a wavelength of visible light—which is a thousand times larger than ...

Much of modern life is supported by advanced materials that power everything from smartphones to electric vehicles. As ...

Machine learning interatomic potentials (MLIPs) have become an essential tool to enable long-time scale simulations of materials and molecules at unprecedented accuracies. The aim of this collection ...

Recent breakthroughs in computational modeling are transforming our ability to predict shock wave behavior with unprecedented precision. As reported on October 17, 2025, these advancements aim to ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...

Materials intelligence plays a crucial role in the continued evolution of semiconductors. Provided byEMD Electronics The Intel 4004, the first commercial microprocessor, was released in 1971. With ...

Recent advancements in quantum materials research have revealed a significant divide in the scalability of these materials. An analysis by MIT, published on October 15, 2025, delves into the factors ...

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...

Northwestern Engineering’s Chris Wolverton has been named a fellow of the Materials Research Society for his pioneering work in computational materials science for materials design and discovery, ...

It has never been straightforward to probe the secrets of quantum systems. Quantum systems are powerful but extremely hard to ...