Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Artificial intelligence and machine learning are rapidly transforming scientific research, with researchers across multiple areas of physics leading the development and application of these tools. To ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Abstract: Machine learning stands poised to revolutionize the process of scientific discovery across various disciplines. In this talk, we will introduce a state-of-the-art scientific machine learning ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Now in its 70th year, the Greater New Orleans Science and Engineering Fair is gearing up for another round of STEM presentations. Over 300 middle- and high-school students will congregate at Tulane ...