Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has long been slow, expensive, and heavily empirical. Machine learning is now ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Researchers have developed a breakthrough technique that quantifies energy dissipation in complex, small systems, offering ...

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

While the policy provided a general framework for the Penn community, faculty across the University have taken varying ...

A UT chemist says it is now time to develop tests for microplastics, similar to tests for other toxic threats.

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

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

Abstract: Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological ...

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still waiting for their ChatGPT moment. The microwave-size instrument at Lila ...

In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to contribute to ...