Tag: AI in materials science

Researchers used explainable machine learning and multi-objective optimization to design a biodegradable Zn–Mg–Li alloy that overcomes the strength–ductility trade-off for ...

Researchers have compiled superplasticity data for nanostructured and ultrafine-grained high-entropy alloys and shown that machine learning models can predict which ...

Researchers at IIT Roorkee and ISRO have developed an AI-driven inverse design method that predicts which ceramic, braze alloy, and ...

Lightweight high-strength polymer composites have emerged as integral components in modern engineering, particularly given the increasing demand for advanced materials ...

In a groundbreaking advancement in the field of materials science, researchers from the University of New Hampshire (UNH) have leveraged ...

In contemporary materials science, the pursuit for advanced battery technologies has become increasingly crucial due to the escalating demands of ...

In a groundbreaking advance that promises to revolutionize the discovery and characterization of new materials, researchers from KAIST have unveiled ...

In the rapidly evolving landscape of materials science, the pursuit of accelerated discovery and optimization of new materials has encountered ...

In a groundbreaking advance at the crossroads of materials science and artificial intelligence, a team of researchers has unveiled a ...

In a breakthrough study that holds significant implications for the future of material science, researchers from Tokyo University of Science ...