This Collection supports and amplifies research related to SDG 9 - Industry, Innovation & Infrastructure. Discovering new materials with customizable and optimized properties, driven either by ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
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.
The authors note that large language models, particularly generative systems capable of producing contextualized text, are ...
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 ...
Learn Your Way is now available in Google Labs. Google's education-centered AI models personalize material. AI companies continue to market study tools to younger users. Google is introducing a new ...
Artificial intelligence has made significant strides in dentistry, especially in areas like diagnostics and clinical imaging.
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