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

This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, ...

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 ...

Artificial intelligence has made significant strides in dentistry, especially in areas like diagnostics and clinical imaging.

Overview of class Key models of electron and ion vacancy transport in hard and soft, crystalline and non-crystalline materials, including hopping, tunneling, polaronic transport and mixed conduction.