Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...

Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...

Materials testing is critical in product development and manufacturing across various industries. It ensures that products can withstand tough conditions in their ...

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

Researchers use large language models to streamline nanoscopic material design for advanced optical systems like camera ...

How additive manufacturing advanced the development of functionally graded materials. Why compositionally graded materials present a greater challenge to materials engineers. How computational ...

The AI-driven framework of optimizing the mechanical property of 2D-PHS. Two-dimensional patterned hollow structures (2D-PHS) are an advanced class of metamaterials known for their unique mechanical ...

Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...

Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...

Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a comprehensive review of ...