Morning Overview on MSN
AI helped uncover a promising new superconducting material
Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...
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 ...
Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...
(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 ...
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback