Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

While the concept of quantum computing has been discussed for more than 40 years, only recently have experiments indicated that a practical quantum computer may be possible. Recent developments in ...

Scientists at the University of Oxford demonstrate an approach to interpreting how materials interact with polarized light, ...

(a) A feasible route for developing large materials models capable of describing the structure-property relationship of materials. The universal materials model of DeepH accepts an arbitrary material ...

High-strength aluminum alloys are critical for making cars and planes more lightweight and fuel-efficient, but manufacturers ...

A new article proposes a simple and effective hybrid generative model that can predict unseen domain boundaries in synthesized materials with limited observations, without the need for expensive ...

(Nanowerk News) The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However ...

As three-dimensional integrated circuit technology becomes the architectural backbone of AI, high-performance computing (HPC), and advanced edge systems, thermal management has sh ...

A model developed by researchers at MIT can help predict proton movement inside materials based on hydrogen bond length and ...