In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Overview: AI is transforming materials science by dramatically reducing the time needed to discover and test new materials.Machine learning models analyze massi ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Video produced by Jeremy Blackburn and Erin Wickey, UK Research Communications. A University of Kentucky researcher is ...

Polaron has secured $8 million in new funding as it works to redefine how advanced materials are understood, designed, and manufactured. The London-based startup is building what it describes as an ...

U.S. Olympic skiers and scientists explain the sharp differences between natural snow and machine-made snow, from the science ...

Professor James Rondinelli collaborated with IBM to help turn simulations into potential practical chip designs.

Researchers developed an AI model that guides material synthesis by predicting multiple viable production pathways.

Lawrence Berkeley National Laboratory (Berkeley Lab) is working to transform petabytes of imaging data from advanced light ...

A research team led by Prof. Yousung Jung of the Department of Chemical and Biological Engineering at Seoul National University (SNU) has developed an innovative AI-based technology that uses large ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...