Tag: machine learning in materials science

In a groundbreaking study published in Nature Machine Intelligence, researchers Li, Zhang, and Wang et al. delve into the innovative ...

In recent advances in materials science, researchers have made significant strides in the development of liquid electrolytes through a new ...

The realm of zeolite synthesis is witnessing a revolutionary shift thanks to the advent of advanced computational methodologies. These crystalline ...

In the relentless pursuit of more efficient and resilient energy storage solutions, researchers have long sought to push the boundaries ...

In the ongoing quest to enhance energy efficiency and sustainable technology, magnesium-based thermoelectric materials have emerged as a highly promising ...

In a groundbreaking advancement poised to revolutionize materials science and biomedical applications, researchers have unveiled a data-driven approach to designing ...

In the quest to conquer the limitations of semiconductor materials and their application in solar technologies, a pioneering research team ...

In a groundbreaking advance poised to transform computational materials science, researchers at Harvard’s John A. Paulson School of Engineering and ...

In the rapidly evolving landscape of nuclear energy technology, the integration of advanced manufacturing techniques with predictive modeling stands as ...

A groundbreaking study by researchers at Lehigh University has unveiled a pioneering machine learning approach capable of predicting abnormal grain ...