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

Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new ...

Tianren Zhang, Yao Tang and professor Darrin Pochan developed protein-based building blocks, called bundlemers, for advanced ...

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 ...

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.

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 ...

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

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

Mechanical engineers at Duke University have demonstrated a proof-of-concept method for programming mechanical properties into solid Lego-like building blocks. By controlling the solidity of hundreds ...