Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

Catalysts make our modern lives possible. By reducing the start-up energy needed for chemical reactions, they facilitate the ...

A new multimodal tool combines a large language model with powerful graph-based AI models to efficiently find new, synthesizable molecules with desired properties, based on a user's queries in plain ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time—a development that could lead to the creation of ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

MXene, a nanomaterial used in battery technology and as a high-performance lubricant, was previously difficult and hazardous ...

A new publication from Opto-Electronic Sciences; DOI   10.29026/oes.2025.240030, discusses unlocking the vibrant photonic ...

Essential for many industries ranging from Hollywood computer-generated imagery to product design, 3D modeling tools often ...

The strongest Cu-Ta-Li alloy developed to date exhibits outstanding strength and stability, making it ideal for advanced ...

The growing startup unites AI, engineering and materials science, paving the way for material innovations ... and we are already bringing our rapid design capabilities to industrial manufacturing more ...

“This is cutting-edge science, developing a new material that uniquely combines ... of other high-temperature alloys following a similar design strategy. “This project is a great example ...