Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new materials.Machine learning models analyze massi ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Proteins are the building blocks of life. These biomolecules comprise chains of amino acids that fold into precise shapes to ...

A Johns Hopkins University engineer has developed a specialized AI tool that could do for materials scientists what ChatGPT has done for coders and writers. The new system, called ChatGPT Materials ...

Electrically heated elements turn from solids to liquids to provide flexibility to robotic building blocks. We use cookies to ...

Rutgers University-New Brunswick researchers have discovered a new class of materials -- called intercrystals -- with unique electronic properties that could power future technologies. Intercrystals ...

Workflow behind the MPT model. In this approach, the model learns from various material properties simultaneously in an initial training phase, followed by fine-tuning on the target property data.

Certain materials have desirable properties that are hidden and scientists can use light to uncover these properties. Researchers have used an advanced optical technique, based on terahertz ...

An introductory course focused on the new and existing materials that are crucial for mitigating worldwide anthropogenic CO2 emissions and associated greenhouse gases. Emphasis will be placed on how ...

Mechanical engineers at Duke University have demonstrated a proof-of-concept method for programming mechanical properties ...