Materials with advanced customized properties drive innovation in a number of real-life applications across various fields, such as information technology, transportation, green energy and health ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...

The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...

For his research in machine learning-based electron density prediction, Michigan Tech researcher Susanta Ghosh has been recognized with one of the National Science Foundation's highest honors. The NSF ...

Over the past decade, technological innovation has transformed the landscape of sports science, reshaping how performance is monitored, analyzed, and ...

Universities everywhere are asking the same question: how do we innovate in teaching when technology is moving faster than we can adapt? Over the past decade, much of what is celebrated as pedagogical ...

Design Sight invites you to reflect on the essence of design and its human spirit through this exhibition directed by design ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...