Machine learning has emerged as an effective approach for developing predictive models for high-throughput screening of materials 1,2,3,4,5,6,7,8. For example, machine-learned models for formation ...

The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...

In a state known for its tornadoes, a team of scientists at the University of Oklahoma is working to better understand their formation. By utilizing machine learning tools, the researchers aim to gain ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...